id	sid	tid	token	lemma	pos
ajst-20191	1	1	academic	academic	ADJ
ajst-20191	1	2	journal	journal	NOUN
ajst-20191	1	3	of	of	ADP
ajst-20191	1	4	science	science	NOUN
ajst-20191	1	5	and	and	CCONJ
ajst-20191	1	6	technology	technology	NOUN
ajst-20191	1	7	issn	issn	NOUN
ajst-20191	1	8	:	:	PUNCT
ajst-20191	1	9	2771	2771	NUM
ajst-20191	1	10	-	-	SYM
ajst-20191	1	11	3032	3032	NUM
ajst-20191	1	12	|	|	NOUN
ajst-20191	1	13	vol	vol	NOUN
ajst-20191	1	14	.	.	PROPN
ajst-20191	2	1	10	10	NUM
ajst-20191	2	2	,	,	PUNCT
ajst-20191	2	3	no	no	INTJ
ajst-20191	2	4	.	.	NOUN
ajst-20191	2	5	2	2	NUM
ajst-20191	2	6	,	,	PUNCT
ajst-20191	2	7	2024	2024	NUM
ajst-20191	2	8	82	82	NUM
ajst-20191	2	9	the	the	DET
ajst-20191	2	10	underwater	underwater	ADJ
ajst-20191	2	11	gravity	gravity	NOUN
ajst-20191	2	12	matching	match	VERB
ajst-20191	2	13	navigation	navigation	NOUN
ajst-20191	2	14	adaptation	adaptation	NOUN
ajst-20191	2	15	area	area	NOUN
ajst-20191	2	16	is	be	AUX
ajst-20191	2	17	preferred	prefer	VERB
ajst-20191	2	18	based	base	VERB
ajst-20191	2	19	on	on	ADP
ajst-20191	2	20	the	the	DET
ajst-20191	2	21	multi‐	multi‐	PROPN
ajst-20191	2	22	starting	starting	NOUN
ajst-20191	2	23	point	point	NOUN
ajst-20191	2	24	tercom	tercom	VERB
ajst-20191	2	25	algorithm	algorithm	PROPN
ajst-20191	2	26	xin	xin	PROPN
ajst-20191	3	1	zhao1	zhao1	PROPN
ajst-20191	3	2	,	,	PUNCT
ajst-20191	3	3	a	a	DET
ajst-20191	3	4	1	1	NUM
ajst-20191	3	5	school	school	NOUN
ajst-20191	3	6	of	of	ADP
ajst-20191	3	7	surveying	surveying	NOUN
ajst-20191	3	8	and	and	CCONJ
ajst-20191	3	9	land	land	NOUN
ajst-20191	3	10	information	information	NOUN
ajst-20191	3	11	engineering	engineering	PROPN
ajst-20191	3	12	,	,	PUNCT
ajst-20191	3	13	henan	henan	PROPN
ajst-20191	3	14	polytechnic	polytechnic	PROPN
ajst-20191	3	15	university	university	PROPN
ajst-20191	3	16	,	,	PUNCT
ajst-20191	3	17	jiaozuo	jiaozuo	PROPN
ajst-20191	3	18	454000	454000	NUM
ajst-20191	3	19	,	,	PUNCT
ajst-20191	3	20	china	china	PROPN
ajst-20191	3	21	a542336797@qq.com	a542336797@qq.com	X
ajst-20191	3	22	abstract	abstract	ADJ
ajst-20191	3	23	:	:	PUNCT
ajst-20191	3	24	this	this	DET
ajst-20191	3	25	paper	paper	NOUN
ajst-20191	3	26	focuses	focus	VERB
ajst-20191	3	27	on	on	ADP
ajst-20191	3	28	the	the	DET
ajst-20191	3	29	selection	selection	NOUN
ajst-20191	3	30	of	of	ADP
ajst-20191	3	31	matching	matching	NOUN
ajst-20191	3	32	area	area	NOUN
ajst-20191	3	33	in	in	ADP
ajst-20191	3	34	gravity	gravity	NOUN
ajst-20191	3	35	matching	matching	NOUN
ajst-20191	3	36	navigation	navigation	NOUN
ajst-20191	3	37	system	system	NOUN
ajst-20191	3	38	of	of	ADP
ajst-20191	3	39	underwater	underwater	ADJ
ajst-20191	3	40	submersible	submersible	NOUN
ajst-20191	3	41	.	.	PUNCT
ajst-20191	4	1	to	to	PART
ajst-20191	4	2	solve	solve	VERB
ajst-20191	4	3	the	the	DET
ajst-20191	4	4	adaptation	adaptation	NOUN
ajst-20191	4	5	of	of	ADP
ajst-20191	4	6	the	the	DET
ajst-20191	4	7	study	study	NOUN
ajst-20191	4	8	region	region	NOUN
ajst-20191	4	9	by	by	ADP
ajst-20191	4	10	using	use	VERB
ajst-20191	4	11	the	the	DET
ajst-20191	4	12	tercom	tercom	PROPN
ajst-20191	4	13	algorithm	algorithm	NOUN
ajst-20191	4	14	,	,	PUNCT
ajst-20191	4	15	this	this	DET
ajst-20191	4	16	paper	paper	NOUN
ajst-20191	4	17	proposes	propose	VERB
ajst-20191	4	18	the	the	DET
ajst-20191	4	19	trajectory	trajectory	NOUN
ajst-20191	4	20	matching	match	VERB
ajst-20191	4	21	with	with	ADP
ajst-20191	4	22	three	three	NUM
ajst-20191	4	23	equal	equal	ADJ
ajst-20191	4	24	starting	starting	NOUN
ajst-20191	4	25	points	point	NOUN
ajst-20191	4	26	within	within	ADP
ajst-20191	4	27	the	the	DET
ajst-20191	4	28	study	study	NOUN
ajst-20191	4	29	area	area	NOUN
ajst-20191	4	30	.	.	PUNCT
ajst-20191	5	1	the	the	DET
ajst-20191	5	2	experimental	experimental	ADJ
ajst-20191	5	3	results	result	NOUN
ajst-20191	5	4	show	show	VERB
ajst-20191	5	5	that	that	SCONJ
ajst-20191	5	6	this	this	DET
ajst-20191	5	7	method	method	NOUN
ajst-20191	5	8	can	can	AUX
ajst-20191	5	9	divide	divide	VERB
ajst-20191	5	10	the	the	DET
ajst-20191	5	11	adaptation	adaptation	NOUN
ajst-20191	5	12	area	area	NOUN
ajst-20191	5	13	of	of	ADP
ajst-20191	5	14	the	the	DET
ajst-20191	5	15	study	study	NOUN
ajst-20191	5	16	area	area	NOUN
ajst-20191	5	17	more	more	ADV
ajst-20191	5	18	comprehensively	comprehensively	ADV
ajst-20191	5	19	.	.	PUNCT
ajst-20191	6	1	keywords	keyword	NOUN
ajst-20191	6	2	:	:	PUNCT
ajst-20191	6	3	tercom	tercom	PROPN
ajst-20191	6	4	algorithm	algorithm	NOUN
ajst-20191	6	5	,	,	PUNCT
ajst-20191	6	6	gravity	gravity	NOUN
ajst-20191	6	7	matching	matching	NOUN
ajst-20191	6	8	navigation	navigation	NOUN
ajst-20191	6	9	,	,	PUNCT
ajst-20191	6	10	multi	multi	ADJ
ajst-20191	6	11	-	-	ADJ
ajst-20191	6	12	starting	starting	ADJ
ajst-20191	6	13	point	point	NOUN
ajst-20191	6	14	.	.	PUNCT
ajst-20191	7	1	1	1	X
ajst-20191	7	2	.	.	X
ajst-20191	7	3	introtucdion	introtucdion	NOUN
ajst-20191	7	4	due	due	ADP
ajst-20191	7	5	to	to	ADP
ajst-20191	7	6	the	the	DET
ajst-20191	7	7	rich	rich	ADJ
ajst-20191	7	8	marine	marine	ADJ
ajst-20191	7	9	resources	resource	NOUN
ajst-20191	7	10	and	and	CCONJ
ajst-20191	7	11	its	its	PRON
ajst-20191	7	12	important	important	ADJ
ajst-20191	7	13	geographical	geographical	ADJ
ajst-20191	7	14	location	location	NOUN
ajst-20191	7	15	,	,	PUNCT
ajst-20191	7	16	countries	country	NOUN
ajst-20191	7	17	'	'	PART
ajst-20191	7	18	investment	investment	NOUN
ajst-20191	7	19	in	in	ADP
ajst-20191	7	20	the	the	DET
ajst-20191	7	21	development	development	NOUN
ajst-20191	7	22	and	and	CCONJ
ajst-20191	7	23	utilization	utilization	NOUN
ajst-20191	7	24	of	of	ADP
ajst-20191	7	25	marine	marine	ADJ
ajst-20191	7	26	resources	resource	NOUN
ajst-20191	7	27	is	be	AUX
ajst-20191	7	28	increasing	increase	VERB
ajst-20191	7	29	,	,	PUNCT
ajst-20191	7	30	which	which	PRON
ajst-20191	7	31	has	have	AUX
ajst-20191	7	32	greatly	greatly	ADV
ajst-20191	7	33	promoted	promote	VERB
ajst-20191	7	34	the	the	DET
ajst-20191	7	35	development	development	NOUN
ajst-20191	7	36	of	of	ADP
ajst-20191	7	37	marine	marine	ADJ
ajst-20191	7	38	science	science	NOUN
ajst-20191	7	39	and	and	CCONJ
ajst-20191	7	40	technology	technology	NOUN
ajst-20191	7	41	.	.	PUNCT
ajst-20191	8	1	the	the	DET
ajst-20191	8	2	navigation	navigation	NOUN
ajst-20191	8	3	and	and	CCONJ
ajst-20191	8	4	positioning	positioning	NOUN
ajst-20191	8	5	function	function	NOUN
ajst-20191	8	6	of	of	ADP
ajst-20191	8	7	underwater	underwater	ADJ
ajst-20191	8	8	vehicle	vehicle	NOUN
ajst-20191	8	9	has	have	AUX
ajst-20191	8	10	gradually	gradually	ADV
ajst-20191	8	11	become	become	VERB
ajst-20191	8	12	one	one	NUM
ajst-20191	8	13	of	of	ADP
ajst-20191	8	14	the	the	DET
ajst-20191	8	15	main	main	ADJ
ajst-20191	8	16	directions	direction	NOUN
ajst-20191	8	17	of	of	ADP
ajst-20191	8	18	scientific	scientific	ADJ
ajst-20191	8	19	research	research	NOUN
ajst-20191	8	20	.	.	PUNCT
ajst-20191	9	1	at	at	ADP
ajst-20191	9	2	present	present	ADJ
ajst-20191	9	3	,	,	PUNCT
ajst-20191	9	4	the	the	DET
ajst-20191	9	5	most	most	ADV
ajst-20191	9	6	commonly	commonly	ADV
ajst-20191	9	7	used	use	VERB
ajst-20191	9	8	navigation	navigation	NOUN
ajst-20191	9	9	system	system	NOUN
ajst-20191	9	10	for	for	ADP
ajst-20191	9	11	underwater	underwater	ADJ
ajst-20191	9	12	vehicle	vehicle	NOUN
ajst-20191	9	13	navigation	navigation	NOUN
ajst-20191	9	14	and	and	CCONJ
ajst-20191	9	15	positioning	positioning	NOUN
ajst-20191	9	16	is	be	AUX
ajst-20191	9	17	the	the	DET
ajst-20191	9	18	inertial	inertial	ADJ
ajst-20191	9	19	navigation	navigation	NOUN
ajst-20191	9	20	system(ins	system(in	NOUN
ajst-20191	9	21	)	)	PUNCT
ajst-20191	9	22	.	.	PUNCT
ajst-20191	10	1	ins	in	NOUN
ajst-20191	10	2	is	be	AUX
ajst-20191	10	3	an	an	DET
ajst-20191	10	4	autonomous	autonomous	ADJ
ajst-20191	10	5	passive	passive	ADJ
ajst-20191	10	6	navigation	navigation	NOUN
ajst-20191	10	7	and	and	CCONJ
ajst-20191	10	8	positioning	positioning	NOUN
ajst-20191	10	9	system	system	NOUN
ajst-20191	10	10	,	,	PUNCT
ajst-20191	10	11	which	which	PRON
ajst-20191	10	12	can	can	AUX
ajst-20191	10	13	give	give	VERB
ajst-20191	10	14	a	a	DET
ajst-20191	10	15	variety	variety	NOUN
ajst-20191	10	16	of	of	ADP
ajst-20191	10	17	information	information	NOUN
ajst-20191	10	18	such	such	ADJ
ajst-20191	10	19	as	as	ADP
ajst-20191	10	20	position	position	NOUN
ajst-20191	10	21	and	and	CCONJ
ajst-20191	10	22	attitude	attitude	NOUN
ajst-20191	10	23	simultaneously	simultaneously	ADV
ajst-20191	10	24	,	,	PUNCT
ajst-20191	10	25	with	with	ADP
ajst-20191	10	26	high	high	ADJ
ajst-20191	10	27	shortterm	shortterm	PROPN
ajst-20191	10	28	navigation	navigation	NOUN
ajst-20191	10	29	accuracy	accuracy	NOUN
ajst-20191	10	30	.	.	PUNCT
ajst-20191	11	1	however	however	ADV
ajst-20191	11	2	,	,	PUNCT
ajst-20191	11	3	there	there	PRON
ajst-20191	11	4	is	be	VERB
ajst-20191	11	5	a	a	DET
ajst-20191	11	6	problem	problem	NOUN
ajst-20191	11	7	that	that	SCONJ
ajst-20191	11	8	the	the	DET
ajst-20191	11	9	positioning	positioning	NOUN
ajst-20191	11	10	error	error	NOUN
ajst-20191	11	11	accumulates	accumulate	VERB
ajst-20191	11	12	with	with	ADP
ajst-20191	11	13	time	time	NOUN
ajst-20191	11	14	.	.	PUNCT
ajst-20191	12	1	when	when	SCONJ
ajst-20191	12	2	it	it	PRON
ajst-20191	12	3	is	be	AUX
ajst-20191	12	4	applied	apply	VERB
ajst-20191	12	5	to	to	ADP
ajst-20191	12	6	long	long	ADJ
ajst-20191	12	7	voyage	voyage	NOUN
ajst-20191	12	8	,	,	PUNCT
ajst-20191	12	9	its	its	PRON
ajst-20191	12	10	divergent	divergent	ADJ
ajst-20191	12	11	error	error	NOUN
ajst-20191	12	12	must	must	AUX
ajst-20191	12	13	be	be	AUX
ajst-20191	12	14	corrected	correct	VERB
ajst-20191	12	15	by	by	ADP
ajst-20191	12	16	other	other	ADJ
ajst-20191	12	17	navigation	navigation	NOUN
ajst-20191	12	18	methods.presently	methods.presently	ADV
ajst-20191	12	19	,	,	PUNCT
ajst-20191	12	20	geophysical	geophysical	ADJ
ajst-20191	12	21	information	information	NOUN
ajst-20191	12	22	is	be	AUX
ajst-20191	12	23	mainly	mainly	ADV
ajst-20191	12	24	used	use	VERB
ajst-20191	12	25	to	to	PART
ajst-20191	12	26	correct	correct	VERB
ajst-20191	12	27	the	the	DET
ajst-20191	12	28	ins	in	NOUN
ajst-20191	12	29	.	.	PUNCT
ajst-20191	13	1	geophysical	geophysical	ADJ
ajst-20191	13	2	information	information	NOUN
ajst-20191	13	3	measurements	measurement	NOUN
ajst-20191	13	4	do	do	AUX
ajst-20191	13	5	not	not	PART
ajst-20191	13	6	rely	rely	VERB
ajst-20191	13	7	on	on	ADP
ajst-20191	13	8	external	external	ADJ
ajst-20191	13	9	signals	signal	NOUN
ajst-20191	13	10	or	or	CCONJ
ajst-20191	13	11	emit	emit	VERB
ajst-20191	13	12	energy	energy	NOUN
ajst-20191	13	13	externally	externally	ADV
ajst-20191	13	14	,	,	PUNCT
ajst-20191	13	15	demonstrating	demonstrate	VERB
ajst-20191	13	16	a	a	DET
ajst-20191	13	17	passive	passive	ADJ
ajst-20191	13	18	nature.such	nature.such	ADJ
ajst-20191	13	19	passive	passive	ADJ
ajst-20191	13	20	navigation	navigation	NOUN
ajst-20191	13	21	systems	system	NOUN
ajst-20191	13	22	mainly	mainly	ADV
ajst-20191	13	23	include	include	VERB
ajst-20191	13	24	three	three	NUM
ajst-20191	13	25	types	type	NOUN
ajst-20191	13	26	of	of	ADP
ajst-20191	13	27	matching	match	VERB
ajst-20191	13	28	navigation	navigation	NOUN
ajst-20191	13	29	methods	method	NOUN
ajst-20191	13	30	combining	combine	VERB
ajst-20191	13	31	underwater	underwater	ADJ
ajst-20191	13	32	terrain	terrain	NOUN
ajst-20191	13	33	,	,	PUNCT
ajst-20191	13	34	geomagnetic	geomagnetic	ADJ
ajst-20191	13	35	field	field	NOUN
ajst-20191	13	36	and	and	CCONJ
ajst-20191	13	37	gravity	gravity	NOUN
ajst-20191	13	38	field	field	NOUN
ajst-20191	13	39	information	information	NOUN
ajst-20191	13	40	.	.	PUNCT
ajst-20191	14	1	gravity	gravity	NOUN
ajst-20191	14	2	matching	matching	NOUN
ajst-20191	14	3	navigation	navigation	NOUN
ajst-20191	14	4	is	be	AUX
ajst-20191	14	5	positioned	position	VERB
ajst-20191	14	6	according	accord	VERB
ajst-20191	14	7	to	to	ADP
ajst-20191	14	8	the	the	DET
ajst-20191	14	9	changes	change	NOUN
ajst-20191	14	10	of	of	ADP
ajst-20191	14	11	the	the	DET
ajst-20191	14	12	earth	earth	NOUN
ajst-20191	14	13	's	's	PART
ajst-20191	14	14	gravity	gravity	NOUN
ajst-20191	14	15	field	field	NOUN
ajst-20191	14	16	,	,	PUNCT
ajst-20191	14	17	does	do	AUX
ajst-20191	14	18	not	not	PART
ajst-20191	14	19	need	need	VERB
ajst-20191	14	20	to	to	PART
ajst-20191	14	21	transmit	transmit	VERB
ajst-20191	14	22	and	and	CCONJ
ajst-20191	14	23	receive	receive	VERB
ajst-20191	14	24	signals	signal	NOUN
ajst-20191	14	25	.	.	PUNCT
ajst-20191	15	1	it	it	PRON
ajst-20191	15	2	is	be	AUX
ajst-20191	15	3	less	less	ADV
ajst-20191	15	4	susceptible	susceptible	ADJ
ajst-20191	15	5	to	to	ADP
ajst-20191	15	6	external	external	ADJ
ajst-20191	15	7	interference	interference	NOUN
ajst-20191	15	8	,	,	PUNCT
ajst-20191	15	9	offering	offer	VERB
ajst-20191	15	10	advantages	advantage	NOUN
ajst-20191	15	11	such	such	ADJ
ajst-20191	15	12	as	as	ADP
ajst-20191	15	13	concealment	concealment	NOUN
ajst-20191	15	14	,	,	PUNCT
ajst-20191	15	15	realtime	realtime	NOUN
ajst-20191	15	16	performance	performance	NOUN
ajst-20191	15	17	,	,	PUNCT
ajst-20191	15	18	and	and	CCONJ
ajst-20191	15	19	high	high	ADJ
ajst-20191	15	20	accuracy	accuracy	NOUN
ajst-20191	15	21	.	.	PUNCT
ajst-20191	16	1	consequently	consequently	ADV
ajst-20191	16	2	,	,	PUNCT
ajst-20191	16	3	gravitymatching	gravitymatche	VERB
ajst-20191	16	4	navigation	navigation	NOUN
ajst-20191	16	5	stands	stand	VERB
ajst-20191	16	6	out	out	ADP
ajst-20191	16	7	as	as	ADP
ajst-20191	16	8	one	one	NUM
ajst-20191	16	9	of	of	ADP
ajst-20191	16	10	the	the	DET
ajst-20191	16	11	most	most	ADV
ajst-20191	16	12	suitable	suitable	ADJ
ajst-20191	16	13	navigation	navigation	NOUN
ajst-20191	16	14	methods	method	NOUN
ajst-20191	16	15	for	for	ADP
ajst-20191	16	16	assisting	assist	VERB
ajst-20191	16	17	underwater	underwater	ADJ
ajst-20191	16	18	inertial	inertial	ADJ
ajst-20191	16	19	navigation	navigation	NOUN
ajst-20191	16	20	[	[	X
ajst-20191	16	21	1	1	NUM
ajst-20191	16	22	-	-	SYM
ajst-20191	16	23	4	4	NUM
ajst-20191	16	24	]	]	PUNCT
ajst-20191	16	25	.	.	PUNCT
ajst-20191	17	1	the	the	DET
ajst-20191	17	2	matching	matching	NOUN
ajst-20191	17	3	effectiveness	effectiveness	NOUN
ajst-20191	17	4	of	of	ADP
ajst-20191	17	5	gravity	gravity	NOUN
ajst-20191	17	6	-	-	PUNCT
ajst-20191	17	7	aided	aid	VERB
ajst-20191	17	8	inertial	inertial	ADJ
ajst-20191	17	9	navigation	navigation	NOUN
ajst-20191	17	10	system	system	NOUN
ajst-20191	17	11	(	(	PUNCT
ajst-20191	17	12	gains	gain	NOUN
ajst-20191	17	13	)	)	PUNCT
ajst-20191	17	14	is	be	AUX
ajst-20191	17	15	closely	closely	ADV
ajst-20191	17	16	related	relate	VERB
ajst-20191	17	17	to	to	ADP
ajst-20191	17	18	the	the	DET
ajst-20191	17	19	distribution	distribution	NOUN
ajst-20191	17	20	of	of	ADP
ajst-20191	17	21	gravity	gravity	NOUN
ajst-20191	17	22	field	field	NOUN
ajst-20191	17	23	in	in	ADP
ajst-20191	17	24	the	the	DET
ajst-20191	17	25	navigation	navigation	NOUN
ajst-20191	17	26	area	area	NOUN
ajst-20191	17	27	.	.	PUNCT
ajst-20191	18	1	the	the	DET
ajst-20191	18	2	same	same	ADJ
ajst-20191	18	3	matching	matching	NOUN
ajst-20191	18	4	algorithm	algorithm	NOUN
ajst-20191	18	5	yields	yield	VERB
ajst-20191	18	6	varying	vary	VERB
ajst-20191	18	7	results	result	NOUN
ajst-20191	18	8	when	when	SCONJ
ajst-20191	18	9	applied	apply	VERB
ajst-20191	18	10	in	in	ADP
ajst-20191	18	11	regions	region	NOUN
ajst-20191	18	12	with	with	ADP
ajst-20191	18	13	different	different	ADJ
ajst-20191	18	14	gravity	gravity	NOUN
ajst-20191	18	15	characteristics	characteristic	NOUN
ajst-20191	18	16	.	.	PUNCT
ajst-20191	19	1	the	the	DET
ajst-20191	19	2	matching	matching	ADJ
ajst-20191	19	3	effect	effect	NOUN
ajst-20191	19	4	is	be	AUX
ajst-20191	19	5	generally	generally	ADV
ajst-20191	19	6	better	well	ADJ
ajst-20191	19	7	in	in	ADP
ajst-20191	19	8	areas	area	NOUN
ajst-20191	19	9	with	with	ADP
ajst-20191	19	10	obvious	obvious	ADJ
ajst-20191	19	11	gravity	gravity	NOUN
ajst-20191	19	12	field	field	NOUN
ajst-20191	19	13	characteristics	characteristic	NOUN
ajst-20191	19	14	,	,	PUNCT
ajst-20191	19	15	that	that	ADV
ajst-20191	19	16	is	is	ADV
ajst-20191	19	17	,	,	PUNCT
ajst-20191	19	18	when	when	SCONJ
ajst-20191	19	19	the	the	DET
ajst-20191	19	20	navigation	navigation	NOUN
ajst-20191	19	21	trajectory	trajectory	NOUN
ajst-20191	19	22	passes	pass	VERB
ajst-20191	19	23	through	through	ADP
ajst-20191	19	24	the	the	DET
ajst-20191	19	25	area	area	NOUN
ajst-20191	19	26	where	where	SCONJ
ajst-20191	19	27	the	the	DET
ajst-20191	19	28	gravity	gravity	NOUN
ajst-20191	19	29	field	field	NOUN
ajst-20191	19	30	changes	change	VERB
ajst-20191	19	31	more	more	ADV
ajst-20191	19	32	violently	violently	ADV
ajst-20191	19	33	,	,	PUNCT
ajst-20191	19	34	the	the	DET
ajst-20191	19	35	gravity	gravity	NOUN
ajst-20191	19	36	sequence	sequence	NOUN
ajst-20191	19	37	collected	collect	VERB
ajst-20191	19	38	in	in	ADP
ajst-20191	19	39	real	real	ADJ
ajst-20191	19	40	time	time	NOUN
ajst-20191	19	41	will	will	AUX
ajst-20191	19	42	produce	produce	VERB
ajst-20191	19	43	more	more	ADJ
ajst-20191	19	44	obvious	obvious	ADJ
ajst-20191	19	45	fluctuations	fluctuation	NOUN
ajst-20191	19	46	,	,	PUNCT
ajst-20191	19	47	and	and	CCONJ
ajst-20191	19	48	it	it	PRON
ajst-20191	19	49	is	be	AUX
ajst-20191	19	50	easy	easy	ADJ
ajst-20191	19	51	to	to	PART
ajst-20191	19	52	find	find	VERB
ajst-20191	19	53	the	the	DET
ajst-20191	19	54	trajectory	trajectory	NOUN
ajst-20191	19	55	consistent	consistent	ADJ
ajst-20191	19	56	with	with	ADP
ajst-20191	19	57	it	it	PRON
ajst-20191	19	58	in	in	ADP
ajst-20191	19	59	the	the	DET
ajst-20191	19	60	gravity	gravity	NOUN
ajst-20191	19	61	map	map	NOUN
ajst-20191	19	62	.	.	PUNCT
ajst-20191	20	1	however	however	ADV
ajst-20191	20	2	,	,	PUNCT
ajst-20191	20	3	there	there	PRON
ajst-20191	20	4	is	be	VERB
ajst-20191	20	5	no	no	DET
ajst-20191	20	6	accurate	accurate	ADJ
ajst-20191	20	7	correspondence	correspondence	NOUN
ajst-20191	20	8	between	between	ADP
ajst-20191	20	9	the	the	DET
ajst-20191	20	10	gravity	gravity	NOUN
ajst-20191	20	11	field	field	NOUN
ajst-20191	20	12	distribution	distribution	NOUN
ajst-20191	20	13	and	and	CCONJ
ajst-20191	20	14	the	the	DET
ajst-20191	20	15	suitability	suitability	NOUN
ajst-20191	20	16	.	.	PUNCT
ajst-20191	21	1	therefore	therefore	ADV
ajst-20191	21	2	,	,	PUNCT
ajst-20191	21	3	it	it	PRON
ajst-20191	21	4	is	be	AUX
ajst-20191	21	5	of	of	ADP
ajst-20191	21	6	great	great	ADJ
ajst-20191	21	7	significance	significance	NOUN
ajst-20191	21	8	to	to	PART
ajst-20191	21	9	study	study	VERB
ajst-20191	21	10	the	the	DET
ajst-20191	21	11	suitability	suitability	NOUN
ajst-20191	21	12	of	of	ADP
ajst-20191	21	13	the	the	DET
ajst-20191	21	14	gravity	gravity	NOUN
ajst-20191	21	15	field	field	NOUN
ajst-20191	21	16	in	in	ADP
ajst-20191	21	17	the	the	DET
ajst-20191	21	18	navigation	navigation	NOUN
ajst-20191	21	19	area	area	NOUN
ajst-20191	21	20	to	to	PART
ajst-20191	21	21	further	far	ADV
ajst-20191	21	22	improve	improve	VERB
ajst-20191	21	23	the	the	DET
ajst-20191	21	24	accuracy	accuracy	NOUN
ajst-20191	21	25	of	of	ADP
ajst-20191	21	26	gravityassisted	gravityassiste	VERB
ajst-20191	21	27	inertial	inertial	ADJ
ajst-20191	21	28	navigation	navigation	NOUN
ajst-20191	21	29	and	and	CCONJ
ajst-20191	21	30	plan	plan	VERB
ajst-20191	21	31	the	the	DET
ajst-20191	21	32	route[5,6	route[5,6	NOUN
ajst-20191	21	33	]	]	PUNCT
ajst-20191	21	34	.	.	PUNCT
ajst-20191	22	1	at	at	ADP
ajst-20191	22	2	present	present	ADJ
ajst-20191	22	3	,	,	PUNCT
ajst-20191	22	4	there	there	PRON
ajst-20191	22	5	are	be	VERB
ajst-20191	22	6	a	a	DET
ajst-20191	22	7	large	large	ADJ
ajst-20191	22	8	number	number	NOUN
ajst-20191	22	9	of	of	ADP
ajst-20191	22	10	studies	study	NOUN
ajst-20191	22	11	on	on	ADP
ajst-20191	22	12	underwater	underwater	ADJ
ajst-20191	22	13	matching	matching	NOUN
ajst-20191	22	14	navigation	navigation	NOUN
ajst-20191	22	15	based	base	VERB
ajst-20191	22	16	on	on	ADP
ajst-20191	22	17	the	the	DET
ajst-20191	22	18	tercom	tercom	PROPN
ajst-20191	22	19	algorithm	algorithm	NOUN
ajst-20191	22	20	.	.	PUNCT
ajst-20191	23	1	in	in	ADP
ajst-20191	23	2	2020	2020	NUM
ajst-20191	23	3	,	,	PUNCT
ajst-20191	23	4	mingda	mingda	PROPN
ajst-20191	23	5	ouyang	ouyang	PROPN
ajst-20191	23	6	studied	study	VERB
ajst-20191	23	7	the	the	DET
ajst-20191	23	8	advantages	advantage	NOUN
ajst-20191	23	9	and	and	CCONJ
ajst-20191	23	10	disadvantages	disadvantage	NOUN
ajst-20191	23	11	of	of	ADP
ajst-20191	23	12	tercom	tercom	NOUN
ajst-20191	23	13	algorithm	algorithm	NOUN
ajst-20191	23	14	and	and	CCONJ
ajst-20191	23	15	iccp	iccp	ADV
ajst-20191	23	16	algorithm	algorithm	NOUN
ajst-20191	23	17	for	for	ADP
ajst-20191	23	18	underwater	underwater	ADJ
ajst-20191	23	19	gravity	gravity	NOUN
ajst-20191	23	20	matching	match	VERB
ajst-20191	23	21	navigation[7	navigation[7	PROPN
ajst-20191	23	22	]	]	X
ajst-20191	23	23	.	.	PUNCT
ajst-20191	24	1	in	in	ADP
ajst-20191	24	2	2021	2021	NUM
ajst-20191	24	3	,	,	PUNCT
ajst-20191	24	4	jiasheng	jiasheng	PROPN
ajst-20191	24	5	zou	zou	PROPN
ajst-20191	24	6	et	et	PROPN
ajst-20191	24	7	al	al	PROPN
ajst-20191	24	8	.	.	PROPN
ajst-20191	24	9	proposed	propose	VERB
ajst-20191	24	10	a	a	DET
ajst-20191	24	11	new	new	ADJ
ajst-20191	24	12	gravity	gravity	NOUN
ajst-20191	24	13	matching	match	VERB
ajst-20191	24	14	navigation	navigation	NOUN
ajst-20191	24	15	algorithm	algorithm	NOUN
ajst-20191	24	16	based	base	VERB
ajst-20191	24	17	on	on	ADP
ajst-20191	24	18	the	the	DET
ajst-20191	24	19	combination	combination	NOUN
ajst-20191	24	20	of	of	ADP
ajst-20191	24	21	iccp	iccp	ADV
ajst-20191	24	22	and	and	CCONJ
ajst-20191	24	23	tercom	tercom	PROPN
ajst-20191	24	24	,	,	PUNCT
ajst-20191	24	25	which	which	PRON
ajst-20191	24	26	can	can	AUX
ajst-20191	24	27	greatly	greatly	ADV
ajst-20191	24	28	improve	improve	VERB
ajst-20191	24	29	the	the	DET
ajst-20191	24	30	accuracy	accuracy	NOUN
ajst-20191	24	31	of	of	ADP
ajst-20191	24	32	gravity	gravity	NOUN
ajst-20191	24	33	matching[8	matching[8	NOUN
ajst-20191	24	34	]	]	PUNCT
ajst-20191	24	35	.	.	PUNCT
ajst-20191	25	1	in	in	ADP
ajst-20191	25	2	2021	2021	NUM
ajst-20191	25	3	,	,	PUNCT
ajst-20191	25	4	zhensheng	zhensheng	PROPN
ajst-20191	25	5	xu	xu	PROPN
ajst-20191	25	6	et	et	PROPN
ajst-20191	25	7	al	al	PROPN
ajst-20191	25	8	.	.	PROPN
ajst-20191	25	9	adopted	adopt	VERB
ajst-20191	25	10	the	the	DET
ajst-20191	25	11	combination	combination	NOUN
ajst-20191	25	12	matching	matching	NOUN
ajst-20191	25	13	algorithm	algorithm	NOUN
ajst-20191	25	14	composed	compose	VERB
ajst-20191	25	15	of	of	ADP
ajst-20191	25	16	tercom	tercom	PROPN
ajst-20191	25	17	method	method	NOUN
ajst-20191	25	18	and	and	CCONJ
ajst-20191	25	19	pmf	pmf	PROPN
ajst-20191	25	20	algorithm	algorithm	PROPN
ajst-20191	25	21	to	to	PART
ajst-20191	25	22	solve	solve	VERB
ajst-20191	25	23	the	the	DET
ajst-20191	25	24	problem	problem	NOUN
ajst-20191	25	25	that	that	SCONJ
ajst-20191	25	26	the	the	DET
ajst-20191	25	27	current	current	ADJ
ajst-20191	25	28	underwater	underwater	ADJ
ajst-20191	25	29	terrain	terrain	NOUN
ajst-20191	25	30	assisted	assist	VERB
ajst-20191	25	31	navigation	navigation	NOUN
ajst-20191	25	32	performance	performance	NOUN
ajst-20191	25	33	can	can	AUX
ajst-20191	25	34	not	not	PART
ajst-20191	25	35	be	be	AUX
ajst-20191	25	36	affected	affect	VERB
ajst-20191	25	37	by	by	ADP
ajst-20191	25	38	multiple	multiple	ADJ
ajst-20191	25	39	factors	factor	NOUN
ajst-20191	25	40	under	under	ADP
ajst-20191	25	41	a	a	DET
ajst-20191	25	42	single	single	ADJ
ajst-20191	25	43	algorithm	algorithm	NOUN
ajst-20191	25	44	.	.	PUNCT
ajst-20191	26	1	the	the	DET
ajst-20191	26	2	results	result	NOUN
ajst-20191	26	3	show	show	VERB
ajst-20191	26	4	that	that	SCONJ
ajst-20191	26	5	the	the	DET
ajst-20191	26	6	combined	combined	ADJ
ajst-20191	26	7	algorithm	algorithm	NOUN
ajst-20191	26	8	can	can	AUX
ajst-20191	26	9	effectively	effectively	ADV
ajst-20191	26	10	reduce	reduce	VERB
ajst-20191	26	11	the	the	DET
ajst-20191	26	12	matching	matching	NOUN
ajst-20191	26	13	error	error	NOUN
ajst-20191	26	14	and	and	CCONJ
ajst-20191	26	15	improve	improve	VERB
ajst-20191	26	16	the	the	DET
ajst-20191	26	17	navigation	navigation	NOUN
ajst-20191	26	18	performance	performance	NOUN
ajst-20191	26	19	under	under	ADP
ajst-20191	26	20	complex	complex	ADJ
ajst-20191	26	21	conditions[9	conditions[9	NOUN
ajst-20191	26	22	]	]	X
ajst-20191	26	23	.	.	PUNCT
ajst-20191	27	1	in	in	ADP
ajst-20191	27	2	2023	2023	NUM
ajst-20191	27	3	,	,	PUNCT
ajst-20191	27	4	ruiying	ruiye	VERB
ajst-20191	27	5	wu	wu	PROPN
ajst-20191	27	6	et	et	PROPN
ajst-20191	27	7	al	al	PROPN
ajst-20191	27	8	.	.	PROPN
ajst-20191	27	9	proposed	proposed	AUX
ajst-20191	27	10	a	a	DET
ajst-20191	27	11	two	two	NUM
ajst-20191	27	12	-	-	PUNCT
ajst-20191	27	13	step	step	NOUN
ajst-20191	27	14	improved	improve	VERB
ajst-20191	27	15	tercom	tercom	NOUN
ajst-20191	27	16	algorithm	algorithm	NOUN
ajst-20191	27	17	for	for	ADP
ajst-20191	27	18	affine	affine	NOUN
ajst-20191	27	19	transformation	transformation	NOUN
ajst-20191	27	20	.	.	PUNCT
ajst-20191	28	1	the	the	DET
ajst-20191	28	2	results	result	NOUN
ajst-20191	28	3	show	show	VERB
ajst-20191	28	4	that	that	SCONJ
ajst-20191	28	5	the	the	DET
ajst-20191	28	6	matching	match	VERB
ajst-20191	28	7	accuracy	accuracy	NOUN
ajst-20191	28	8	of	of	ADP
ajst-20191	28	9	the	the	DET
ajst-20191	28	10	improved	improved	ADJ
ajst-20191	28	11	algorithm	algorithm	NOUN
ajst-20191	28	12	is	be	AUX
ajst-20191	28	13	nearly	nearly	ADV
ajst-20191	28	14	50	50	NUM
ajst-20191	28	15	%	%	NOUN
ajst-20191	28	16	higher	high	ADJ
ajst-20191	28	17	.	.	PUNCT
ajst-20191	29	1	in	in	ADP
ajst-20191	29	2	the	the	DET
ajst-20191	29	3	case	case	NOUN
ajst-20191	29	4	of	of	ADP
ajst-20191	29	5	mismatching	mismatch	VERB
ajst-20191	29	6	,	,	PUNCT
ajst-20191	29	7	due	due	ADP
ajst-20191	29	8	to	to	ADP
ajst-20191	29	9	the	the	DET
ajst-20191	29	10	large	large	ADJ
ajst-20191	29	11	difference	difference	NOUN
ajst-20191	29	12	between	between	ADP
ajst-20191	29	13	coarse	coarse	ADJ
ajst-20191	29	14	and	and	CCONJ
ajst-20191	29	15	fine	fine	ADJ
ajst-20191	29	16	matching	matching	NOUN
ajst-20191	29	17	results	result	NOUN
ajst-20191	29	18	,	,	PUNCT
ajst-20191	29	19	it	it	PRON
ajst-20191	29	20	can	can	AUX
ajst-20191	29	21	play	play	VERB
ajst-20191	29	22	a	a	DET
ajst-20191	29	23	certain	certain	ADJ
ajst-20191	29	24	warning	warning	NOUN
ajst-20191	29	25	role	role	NOUN
ajst-20191	29	26	for	for	ADP
ajst-20191	29	27	the	the	DET
ajst-20191	29	28	mismatching	mismatching	ADJ
ajst-20191	29	29	situation[10	situation[10	NOUN
ajst-20191	29	30	]	]	PUNCT
ajst-20191	29	31	.	.	PUNCT
ajst-20191	30	1	in	in	ADP
ajst-20191	30	2	2023	2023	NUM
ajst-20191	30	3	,	,	PUNCT
ajst-20191	30	4	dan	dan	PROPN
ajst-20191	30	5	wang	wang	PROPN
ajst-20191	30	6	et	et	PROPN
ajst-20191	30	7	al	al	PROPN
ajst-20191	30	8	.	.	PROPN
ajst-20191	30	9	proposed	propose	VERB
ajst-20191	30	10	a	a	DET
ajst-20191	30	11	terrainassisted	terrainassiste	VERB
ajst-20191	30	12	navigation	navigation	NOUN
ajst-20191	30	13	algorithm	algorithm	NOUN
ajst-20191	30	14	based	base	VERB
ajst-20191	30	15	on	on	ADP
ajst-20191	30	16	improved	improved	ADJ
ajst-20191	30	17	tercom	tercom	NOUN
ajst-20191	30	18	.	.	PUNCT
ajst-20191	31	1	compared	compare	VERB
ajst-20191	31	2	with	with	ADP
ajst-20191	31	3	the	the	DET
ajst-20191	31	4	traditional	traditional	ADJ
ajst-20191	31	5	tercom	tercom	NOUN
ajst-20191	31	6	algorithm	algorithm	NOUN
ajst-20191	31	7	,	,	PUNCT
ajst-20191	31	8	the	the	DET
ajst-20191	31	9	proposed	propose	VERB
ajst-20191	31	10	algorithm	algorithm	NOUN
ajst-20191	31	11	can	can	AUX
ajst-20191	31	12	reduce	reduce	VERB
ajst-20191	31	13	the	the	DET
ajst-20191	31	14	heading	heading	NOUN
ajst-20191	31	15	error	error	NOUN
ajst-20191	31	16	by	by	ADP
ajst-20191	31	17	84	84	NUM
ajst-20191	31	18	%	%	NOUN
ajst-20191	31	19	and	and	CCONJ
ajst-20191	31	20	improve	improve	VERB
ajst-20191	31	21	the	the	DET
ajst-20191	31	22	matching	matching	NOUN
ajst-20191	31	23	accuracy	accuracy	NOUN
ajst-20191	31	24	by	by	ADP
ajst-20191	31	25	more	more	ADJ
ajst-20191	31	26	than	than	ADP
ajst-20191	31	27	4	4	NUM
ajst-20191	31	28	times[11	times[11	NOUN
ajst-20191	31	29	]	]	PUNCT
ajst-20191	31	30	.	.	PUNCT
ajst-20191	32	1	different	different	ADJ
ajst-20191	32	2	from	from	ADP
ajst-20191	32	3	previous	previous	ADJ
ajst-20191	32	4	studies	study	NOUN
ajst-20191	32	5	,	,	PUNCT
ajst-20191	32	6	because	because	SCONJ
ajst-20191	32	7	the	the	DET
ajst-20191	32	8	results	result	NOUN
ajst-20191	32	9	of	of	ADP
ajst-20191	32	10	the	the	DET
ajst-20191	32	11	calibration	calibration	NOUN
ajst-20191	32	12	adaptation	adaptation	NOUN
ajst-20191	32	13	zone	zone	NOUN
ajst-20191	32	14	are	be	AUX
ajst-20191	32	15	closely	closely	ADV
ajst-20191	32	16	related	relate	VERB
ajst-20191	32	17	to	to	ADP
ajst-20191	32	18	the	the	DET
ajst-20191	32	19	selection	selection	NOUN
ajst-20191	32	20	of	of	ADP
ajst-20191	32	21	the	the	DET
ajst-20191	32	22	start	start	NOUN
ajst-20191	32	23	point	point	NOUN
ajst-20191	32	24	,	,	PUNCT
ajst-20191	32	25	in	in	ADP
ajst-20191	32	26	order	order	NOUN
ajst-20191	32	27	to	to	PART
ajst-20191	32	28	make	make	VERB
ajst-20191	32	29	the	the	DET
ajst-20191	32	30	calibration	calibration	NOUN
ajst-20191	32	31	results	result	VERB
ajst-20191	32	32	more	more	ADV
ajst-20191	32	33	accurate	accurate	ADJ
ajst-20191	32	34	,	,	PUNCT
ajst-20191	32	35	we	we	PRON
ajst-20191	32	36	use	use	VERB
ajst-20191	32	37	the	the	DET
ajst-20191	32	38	tercom	tercom	NOUN
ajst-20191	32	39	algorithm	algorithm	NOUN
ajst-20191	32	40	to	to	PART
ajst-20191	32	41	divide	divide	VERB
ajst-20191	32	42	the	the	DET
ajst-20191	32	43	adaptation	adaptation	NOUN
ajst-20191	32	44	region	region	NOUN
ajst-20191	32	45	.	.	PUNCT
ajst-20191	33	1	2	2	X
ajst-20191	33	2	.	.	X
ajst-20191	33	3	tercom	tercom	PROPN
ajst-20191	33	4	algorithm	algorithm	PROPN
ajst-20191	33	5	tercom	tercom	VERB
ajst-20191	33	6	the	the	DET
ajst-20191	33	7	algorithm	algorithm	NOUN
ajst-20191	33	8	is	be	AUX
ajst-20191	33	9	mainly	mainly	ADV
ajst-20191	33	10	used	use	VERB
ajst-20191	33	11	in	in	ADP
ajst-20191	33	12	the	the	DET
ajst-20191	33	13	navigation	navigation	NOUN
ajst-20191	33	14	process	process	NOUN
ajst-20191	33	15	of	of	ADP
ajst-20191	33	16	unmanned	unmanned	ADJ
ajst-20191	33	17	aerial	aerial	ADJ
ajst-20191	33	18	vehicles	vehicle	NOUN
ajst-20191	33	19	,	,	PUNCT
ajst-20191	33	20	and	and	CCONJ
ajst-20191	33	21	it	it	PRON
ajst-20191	33	22	is	be	AUX
ajst-20191	33	23	a	a	DET
ajst-20191	33	24	navigation	navigation	NOUN
ajst-20191	33	25	83	83	NUM
ajst-20191	33	26	system	system	NOUN
ajst-20191	33	27	used	use	VERB
ajst-20191	33	28	by	by	ADP
ajst-20191	33	29	comparing	compare	VERB
ajst-20191	33	30	the	the	DET
ajst-20191	33	31	pre	pre	ADJ
ajst-20191	33	32	-	-	ADJ
ajst-20191	33	33	recorded	recorded	ADJ
ajst-20191	33	34	topographic	topographic	PROPN
ajst-20191	33	35	contour	contour	NOUN
ajst-20191	33	36	map	map	NOUN
ajst-20191	33	37	with	with	ADP
ajst-20191	33	38	the	the	DET
ajst-20191	33	39	measurement	measurement	NOUN
ajst-20191	33	40	made	make	VERB
ajst-20191	33	41	by	by	ADP
ajst-20191	33	42	the	the	DET
ajst-20191	33	43	airborne	airborne	ADJ
ajst-20191	33	44	radar	radar	NOUN
ajst-20191	33	45	altimeter	altimeter	NOUN
ajst-20191	33	46	in	in	ADP
ajst-20191	33	47	flight	flight	NOUN
ajst-20191	33	48	.	.	PUNCT
ajst-20191	34	1	in	in	ADP
ajst-20191	34	2	addition	addition	NOUN
ajst-20191	34	3	to	to	ADP
ajst-20191	34	4	its	its	PRON
ajst-20191	34	5	application	application	NOUN
ajst-20191	34	6	in	in	ADP
ajst-20191	34	7	unmanned	unmanned	ADJ
ajst-20191	34	8	aerial	aerial	ADJ
ajst-20191	34	9	vehicles	vehicle	NOUN
ajst-20191	34	10	,	,	PUNCT
ajst-20191	34	11	the	the	DET
ajst-20191	34	12	tercom	tercom	NOUN
ajst-20191	34	13	algorithm	algorithm	NOUN
ajst-20191	34	14	is	be	AUX
ajst-20191	34	15	also	also	ADV
ajst-20191	34	16	applied	apply	VERB
ajst-20191	34	17	in	in	ADP
ajst-20191	34	18	the	the	DET
ajst-20191	34	19	underwater	underwater	ADJ
ajst-20191	34	20	environment	environment	NOUN
ajst-20191	34	21	,	,	PUNCT
ajst-20191	34	22	which	which	PRON
ajst-20191	34	23	is	be	AUX
ajst-20191	34	24	currently	currently	ADV
ajst-20191	34	25	widely	widely	ADV
ajst-20191	34	26	used	use	VERB
ajst-20191	34	27	in	in	ADP
ajst-20191	34	28	the	the	DET
ajst-20191	34	29	matching	matching	NOUN
ajst-20191	34	30	function	function	NOUN
ajst-20191	34	31	of	of	ADP
ajst-20191	34	32	underwater	underwater	ADJ
ajst-20191	34	33	terrain	terrain	NOUN
ajst-20191	34	34	,	,	PUNCT
ajst-20191	34	35	geomagnetic	geomagnetic	ADJ
ajst-20191	34	36	and	and	CCONJ
ajst-20191	34	37	gravity	gravity	NOUN
ajst-20191	34	38	auxiliary	auxiliary	ADJ
ajst-20191	34	39	systems	system	NOUN
ajst-20191	34	40	.	.	PUNCT
ajst-20191	35	1	the	the	DET
ajst-20191	35	2	principle	principle	NOUN
ajst-20191	35	3	of	of	ADP
ajst-20191	35	4	the	the	DET
ajst-20191	35	5	tercom	tercom	PROPN
ajst-20191	35	6	algorithm	algorithm	NOUN
ajst-20191	35	7	is	be	AUX
ajst-20191	35	8	shown	show	VERB
ajst-20191	35	9	in	in	ADP
ajst-20191	35	10	figure	figure	NOUN
ajst-20191	35	11	1	1	NUM
ajst-20191	35	12	.	.	PUNCT
ajst-20191	35	13	figure	figure	NOUN
ajst-20191	35	14	1	1	NUM
ajst-20191	35	15	.	.	PUNCT
ajst-20191	35	16	principle	principle	NOUN
ajst-20191	35	17	of	of	ADP
ajst-20191	35	18	the	the	DET
ajst-20191	35	19	tercom	tercom	PROPN
ajst-20191	35	20	algorithm	algorithm	NOUN
ajst-20191	35	21	the	the	DET
ajst-20191	35	22	tercom	tercom	PROPN
ajst-20191	35	23	algorithm	algorithm	NOUN
ajst-20191	35	24	is	be	AUX
ajst-20191	35	25	a	a	DET
ajst-20191	35	26	relevant	relevant	ADJ
ajst-20191	35	27	extreme	extreme	ADJ
ajst-20191	35	28	value	value	NOUN
ajst-20191	35	29	matching	matching	NOUN
ajst-20191	35	30	.	.	PUNCT
ajst-20191	36	1	the	the	DET
ajst-20191	36	2	main	main	ADJ
ajst-20191	36	3	function	function	NOUN
ajst-20191	36	4	of	of	ADP
ajst-20191	36	5	its	its	PRON
ajst-20191	36	6	application	application	NOUN
ajst-20191	36	7	to	to	PART
ajst-20191	36	8	gravityassisted	gravityassisted	VERB
ajst-20191	36	9	inertial	inertial	ADJ
ajst-20191	36	10	navigation	navigation	NOUN
ajst-20191	36	11	is	be	AUX
ajst-20191	36	12	to	to	PART
ajst-20191	36	13	find	find	VERB
ajst-20191	36	14	a	a	DET
ajst-20191	36	15	path	path	NOUN
ajst-20191	36	16	parallel	parallel	NOUN
ajst-20191	36	17	to	to	ADP
ajst-20191	36	18	the	the	DET
ajst-20191	36	19	path	path	NOUN
ajst-20191	36	20	indicated	indicate	VERB
ajst-20191	36	21	by	by	ADP
ajst-20191	36	22	the	the	DET
ajst-20191	36	23	inertial	inertial	ADJ
ajst-20191	36	24	navigation	navigation	NOUN
ajst-20191	36	25	system	system	NOUN
ajst-20191	36	26	and	and	CCONJ
ajst-20191	36	27	closest	close	ADJ
ajst-20191	36	28	to	to	ADP
ajst-20191	36	29	the	the	DET
ajst-20191	36	30	navigation	navigation	NOUN
ajst-20191	36	31	path	path	NOUN
ajst-20191	36	32	in	in	ADP
ajst-20191	36	33	the	the	DET
ajst-20191	36	34	high	high	ADJ
ajst-20191	36	35	-	-	PUNCT
ajst-20191	36	36	resolution	resolution	NOUN
ajst-20191	36	37	gravity	gravity	NOUN
ajst-20191	36	38	anomaly	anomaly	NOUN
ajst-20191	36	39	map	map	NOUN
ajst-20191	36	40	stored	store	VERB
ajst-20191	36	41	in	in	ADP
ajst-20191	36	42	the	the	DET
ajst-20191	36	43	computer	computer	NOUN
ajst-20191	36	44	.	.	PUNCT
ajst-20191	37	1	when	when	SCONJ
ajst-20191	37	2	the	the	DET
ajst-20191	37	3	underwater	underwater	ADJ
ajst-20191	37	4	vehicle	vehicle	NOUN
ajst-20191	37	5	sails	sail	NOUN
ajst-20191	37	6	,	,	PUNCT
ajst-20191	37	7	the	the	DET
ajst-20191	37	8	depth	depth	NOUN
ajst-20191	37	9	meter	meter	NOUN
ajst-20191	37	10	and	and	CCONJ
ajst-20191	37	11	gravimeter	gravimeter	NOUN
ajst-20191	37	12	will	will	AUX
ajst-20191	37	13	collect	collect	VERB
ajst-20191	37	14	the	the	DET
ajst-20191	37	15	gravity	gravity	NOUN
ajst-20191	37	16	data	datum	NOUN
ajst-20191	37	17	of	of	ADP
ajst-20191	37	18	the	the	DET
ajst-20191	37	19	depth	depth	NOUN
ajst-20191	37	20	and	and	CCONJ
ajst-20191	37	21	current	current	ADJ
ajst-20191	37	22	position	position	NOUN
ajst-20191	37	23	of	of	ADP
ajst-20191	37	24	the	the	DET
ajst-20191	37	25	vehicle	vehicle	NOUN
ajst-20191	37	26	at	at	ADP
ajst-20191	37	27	certain	certain	ADJ
ajst-20191	37	28	intervals	interval	NOUN
ajst-20191	37	29	,	,	PUNCT
ajst-20191	37	30	and	and	CCONJ
ajst-20191	37	31	a	a	DET
ajst-20191	37	32	set	set	NOUN
ajst-20191	37	33	of	of	ADP
ajst-20191	37	34	gravity	gravity	NOUN
ajst-20191	37	35	outlier	outlier	NOUN
ajst-20191	37	36	reference	reference	NOUN
ajst-20191	37	37	sequence	sequence	NOUN
ajst-20191	37	38	can	can	AUX
ajst-20191	37	39	be	be	AUX
ajst-20191	37	40	obtained	obtain	VERB
ajst-20191	37	41	after	after	ADP
ajst-20191	37	42	depth	depth	NOUN
ajst-20191	37	43	correction	correction	NOUN
ajst-20191	37	44	.	.	PUNCT
ajst-20191	38	1	the	the	DET
ajst-20191	38	2	inertial	inertial	ADJ
ajst-20191	38	3	navigation	navigation	NOUN
ajst-20191	38	4	system	system	NOUN
ajst-20191	38	5	gives	give	VERB
ajst-20191	38	6	the	the	DET
ajst-20191	38	7	current	current	ADJ
ajst-20191	38	8	location	location	NOUN
ajst-20191	38	9	of	of	ADP
ajst-20191	38	10	the	the	DET
ajst-20191	38	11	current	current	ADJ
ajst-20191	38	12	vehicle	vehicle	NOUN
ajst-20191	38	13	.	.	PUNCT
ajst-20191	39	1	due	due	ADP
ajst-20191	39	2	to	to	ADP
ajst-20191	39	3	the	the	DET
ajst-20191	39	4	influence	influence	NOUN
ajst-20191	39	5	of	of	ADP
ajst-20191	39	6	the	the	DET
ajst-20191	39	7	inertial	inertial	ADJ
ajst-20191	39	8	navigation	navigation	NOUN
ajst-20191	39	9	error	error	NOUN
ajst-20191	39	10	,	,	PUNCT
ajst-20191	39	11	the	the	DET
ajst-20191	39	12	true	true	ADJ
ajst-20191	39	13	position	position	NOUN
ajst-20191	39	14	of	of	ADP
ajst-20191	39	15	the	the	DET
ajst-20191	39	16	vehicle	vehicle	NOUN
ajst-20191	39	17	is	be	AUX
ajst-20191	39	18	generally	generally	ADV
ajst-20191	39	19	not	not	PART
ajst-20191	39	20	the	the	DET
ajst-20191	39	21	position	position	NOUN
ajst-20191	39	22	given	give	VERB
ajst-20191	39	23	by	by	ADP
ajst-20191	39	24	the	the	DET
ajst-20191	39	25	inertial	inertial	ADJ
ajst-20191	39	26	navigation	navigation	NOUN
ajst-20191	39	27	system	system	NOUN
ajst-20191	39	28	,	,	PUNCT
ajst-20191	39	29	but	but	CCONJ
ajst-20191	39	30	the	the	DET
ajst-20191	39	31	real	real	ADJ
ajst-20191	39	32	position	position	NOUN
ajst-20191	39	33	is	be	AUX
ajst-20191	39	34	near	near	ADP
ajst-20191	39	35	the	the	DET
ajst-20191	39	36	position	position	NOUN
ajst-20191	39	37	given	give	VERB
ajst-20191	39	38	by	by	ADP
ajst-20191	39	39	the	the	DET
ajst-20191	39	40	inertial	inertial	ADJ
ajst-20191	39	41	navigation	navigation	NOUN
ajst-20191	39	42	system	system	NOUN
ajst-20191	39	43	.	.	PUNCT
ajst-20191	40	1	centering	center	VERB
ajst-20191	40	2	on	on	ADP
ajst-20191	40	3	the	the	DET
ajst-20191	40	4	location	location	NOUN
ajst-20191	40	5	estimated	estimate	VERB
ajst-20191	40	6	by	by	ADP
ajst-20191	40	7	the	the	DET
ajst-20191	40	8	inertial	inertial	ADJ
ajst-20191	40	9	navigation	navigation	NOUN
ajst-20191	40	10	system	system	NOUN
ajst-20191	40	11	,	,	PUNCT
ajst-20191	40	12	a	a	DET
ajst-20191	40	13	grid	grid	NOUN
ajst-20191	40	14	area	area	NOUN
ajst-20191	40	15	is	be	AUX
ajst-20191	40	16	determined	determine	VERB
ajst-20191	40	17	according	accord	VERB
ajst-20191	40	18	to	to	ADP
ajst-20191	40	19	a	a	DET
ajst-20191	40	20	certain	certain	ADJ
ajst-20191	40	21	range	range	NOUN
ajst-20191	40	22	.	.	PUNCT
ajst-20191	41	1	we	we	PRON
ajst-20191	41	2	trathrough	trathrough	ADV
ajst-20191	41	3	each	each	DET
ajst-20191	41	4	grid	grid	NOUN
ajst-20191	41	5	in	in	ADP
ajst-20191	41	6	the	the	DET
ajst-20191	41	7	search	search	NOUN
ajst-20191	41	8	range	range	NOUN
ajst-20191	41	9	and	and	CCONJ
ajst-20191	41	10	obtain	obtain	VERB
ajst-20191	41	11	multiple	multiple	ADJ
ajst-20191	41	12	sets	set	NOUN
ajst-20191	41	13	of	of	ADP
ajst-20191	41	14	sequences	sequence	NOUN
ajst-20191	41	15	parallel	parallel	ADJ
ajst-20191	41	16	to	to	ADP
ajst-20191	41	17	the	the	DET
ajst-20191	41	18	track	track	NOUN
ajst-20191	41	19	of	of	ADP
ajst-20191	41	20	the	the	DET
ajst-20191	41	21	inertial	inertial	ADJ
ajst-20191	41	22	navigation	navigation	NOUN
ajst-20191	41	23	system	system	NOUN
ajst-20191	41	24	.	.	PUNCT
ajst-20191	42	1	each	each	DET
ajst-20191	42	2	group	group	NOUN
ajst-20191	42	3	of	of	ADP
ajst-20191	42	4	sequences	sequence	NOUN
ajst-20191	42	5	is	be	AUX
ajst-20191	42	6	correlated	correlate	VERB
ajst-20191	42	7	with	with	ADP
ajst-20191	42	8	the	the	DET
ajst-20191	42	9	reference	reference	NOUN
ajst-20191	42	10	sequences	sequence	NOUN
ajst-20191	42	11	,	,	PUNCT
ajst-20191	42	12	and	and	CCONJ
ajst-20191	42	13	the	the	DET
ajst-20191	42	14	grid	grid	NOUN
ajst-20191	42	15	position	position	NOUN
ajst-20191	42	16	corresponding	correspond	VERB
ajst-20191	42	17	to	to	ADP
ajst-20191	42	18	the	the	DET
ajst-20191	42	19	sequence	sequence	NOUN
ajst-20191	42	20	with	with	ADP
ajst-20191	42	21	the	the	DET
ajst-20191	42	22	highest	high	ADJ
ajst-20191	42	23	correlation	correlation	NOUN
ajst-20191	42	24	can	can	AUX
ajst-20191	42	25	be	be	AUX
ajst-20191	42	26	considered	consider	VERB
ajst-20191	42	27	as	as	ADP
ajst-20191	42	28	the	the	DET
ajst-20191	42	29	true	true	ADJ
ajst-20191	42	30	position	position	NOUN
ajst-20191	42	31	of	of	ADP
ajst-20191	42	32	the	the	DET
ajst-20191	42	33	navigation	navigation	NOUN
ajst-20191	42	34	vessel	vessel	NOUN
ajst-20191	42	35	.	.	PUNCT
ajst-20191	43	1	the	the	DET
ajst-20191	43	2	commonly	commonly	ADV
ajst-20191	43	3	used	use	VERB
ajst-20191	43	4	related	related	ADJ
ajst-20191	43	5	algorithms	algorithm	NOUN
ajst-20191	43	6	are	be	AUX
ajst-20191	43	7	cross	cross	ADJ
ajst-20191	43	8	-	-	ADJ
ajst-20191	43	9	correlation	correlation	ADJ
ajst-20191	43	10	algorithm	algorithm	NOUN
ajst-20191	43	11	(	(	PUNCT
ajst-20191	43	12	cor	cor	PROPN
ajst-20191	43	13	)	)	PUNCT
ajst-20191	43	14	,	,	PUNCT
ajst-20191	44	1	mean	mean	VERB
ajst-20191	44	2	absolute	absolute	ADJ
ajst-20191	44	3	difference	difference	NOUN
ajst-20191	44	4	algorithm	algorithm	NOUN
ajst-20191	44	5	(	(	PUNCT
ajst-20191	44	6	mad	mad	ADJ
ajst-20191	44	7	)	)	PUNCT
ajst-20191	44	8	,	,	PUNCT
ajst-20191	44	9	and	and	CCONJ
ajst-20191	44	10	mean	mean	ADJ
ajst-20191	44	11	variance	variance	NOUN
ajst-20191	44	12	algorithm	algorithm	NOUN
ajst-20191	44	13	(	(	PUNCT
ajst-20191	44	14	msd	msd	NOUN
ajst-20191	44	15	)	)	PUNCT
ajst-20191	44	16	,	,	PUNCT
ajst-20191	44	17	whose	whose	DET
ajst-20191	44	18	discrete	discrete	ADJ
ajst-20191	44	19	forms	form	NOUN
ajst-20191	44	20	are	be	AUX
ajst-20191	44	21	defined	define	VERB
ajst-20191	44	22	as	as	ADP
ajst-20191	44	23	:	:	PUNCT
ajst-20191	44	24			NOUN
ajst-20191	44	25			SYM
ajst-20191	44	26			NOUN
ajst-20191	44	27	igig	igig	PUNCT
ajst-20191	44	28	n	n	CCONJ
ajst-20191	44	29	j	j	PROPN
ajst-20191	44	30	m	m	VERB
ajst-20191	44	31	n	n	ADJ
ajst-20191	44	32	i	i	PRON
ajst-20191	44	33	rcor	rcor	VERB
ajst-20191	45	1			NOUN
ajst-20191	45	2			X
ajst-20191	46	1	1	1	NUM
ajst-20191	46	2	1	1	NUM
ajst-20191	46	3	(	(	PUNCT
ajst-20191	46	4	1	1	NUM
ajst-20191	46	5	)	)	PUNCT
ajst-20191	46	6			NOUN
ajst-20191	46	7			SYM
ajst-20191	46	8			NOUN
ajst-20191	46	9			PROPN
ajst-20191	46	10			NUM
ajst-20191	46	11			PROPN
ajst-20191	46	12	n	n	CCONJ
ajst-20191	46	13	i	i	PRON
ajst-20191	46	14	mrmad	mrmad	VERB
ajst-20191	46	15	igig	igig	PROPN
ajst-20191	46	16	n	n	PROPN
ajst-20191	46	17	j	j	PROPN
ajst-20191	46	18	1	1	NUM
ajst-20191	46	19	1	1	NUM
ajst-20191	46	20	(	(	PUNCT
ajst-20191	46	21	2	2	NUM
ajst-20191	46	22	)	)	PUNCT
ajst-20191	46	23			NOUN
ajst-20191	46	24			SYM
ajst-20191	46	25			NOUN
ajst-20191	46	26			PROPN
ajst-20191	46	27			NUM
ajst-20191	46	28			PROPN
ajst-20191	46	29	n	n	CCONJ
ajst-20191	46	30	i	i	PRON
ajst-20191	46	31	mrmsd	mrmsd	PROPN
ajst-20191	46	32	igig	igig	PROPN
ajst-20191	47	1	n	n	CCONJ
ajst-20191	47	2	j	j	PROPN
ajst-20191	47	3	1	1	NUM
ajst-20191	47	4	21	21	NUM
ajst-20191	47	5	(	(	PUNCT
ajst-20191	47	6	3	3	NUM
ajst-20191	47	7	)	)	PUNCT
ajst-20191	47	8	where	where	SCONJ
ajst-20191	47	9	rg	rg	PROPN
ajst-20191	47	10	is	be	AUX
ajst-20191	47	11	the	the	DET
ajst-20191	47	12	measured	measured	ADJ
ajst-20191	47	13	gravity	gravity	NOUN
ajst-20191	47	14	data	datum	NOUN
ajst-20191	47	15	,	,	PUNCT
ajst-20191	47	16	mg	mg	PROPN
ajst-20191	47	17	is	be	AUX
ajst-20191	47	18	the	the	DET
ajst-20191	47	19	data	datum	NOUN
ajst-20191	47	20	stored	store	VERB
ajst-20191	47	21	in	in	ADP
ajst-20191	47	22	the	the	DET
ajst-20191	47	23	digital	digital	ADJ
ajst-20191	47	24	gravity	gravity	NOUN
ajst-20191	47	25	anomaly	anomaly	NOUN
ajst-20191	47	26	map	map	NOUN
ajst-20191	47	27	,	,	PUNCT
ajst-20191	47	28	n	n	X
ajst-20191	47	29	is	be	AUX
ajst-20191	47	30	the	the	DET
ajst-20191	47	31	measured	measure	VERB
ajst-20191	47	32	on	on	ADP
ajst-20191	47	33	the	the	DET
ajst-20191	47	34	length	length	NOUN
ajst-20191	47	35	of	of	ADP
ajst-20191	47	36	the	the	DET
ajst-20191	47	37	gravity	gravity	NOUN
ajst-20191	47	38	sequence	sequence	NOUN
ajst-20191	47	39	.	.	PUNCT
ajst-20191	48	1	the	the	DET
ajst-20191	48	2	optimal	optimal	ADJ
ajst-20191	48	3	matching	matching	NOUN
ajst-20191	48	4	path	path	NOUN
ajst-20191	48	5	is	be	AUX
ajst-20191	48	6	to	to	PART
ajst-20191	48	7	maximize	maximize	VERB
ajst-20191	48	8	the	the	DET
ajst-20191	48	9	crosscorrelation	crosscorrelation	NOUN
ajst-20191	48	10	value	value	NOUN
ajst-20191	48	11	and	and	CCONJ
ajst-20191	48	12	minimize	minimize	VERB
ajst-20191	48	13	the	the	DET
ajst-20191	48	14	average	average	ADJ
ajst-20191	48	15	absolute	absolute	ADJ
ajst-20191	48	16	difference	difference	NOUN
ajst-20191	48	17	and	and	CCONJ
ajst-20191	48	18	mean	mean	ADJ
ajst-20191	48	19	variance	variance	NOUN
ajst-20191	48	20	value	value	NOUN
ajst-20191	48	21	.	.	PUNCT
ajst-20191	49	1	among	among	ADP
ajst-20191	49	2	them	they	PRON
ajst-20191	49	3	,	,	PUNCT
ajst-20191	49	4	the	the	DET
ajst-20191	49	5	stability	stability	NOUN
ajst-20191	49	6	and	and	CCONJ
ajst-20191	49	7	accuracy	accuracy	NOUN
ajst-20191	49	8	of	of	ADP
ajst-20191	49	9	the	the	DET
ajst-20191	49	10	cross	cross	ADJ
ajst-20191	49	11	-	-	ADJ
ajst-20191	49	12	correlation	correlation	ADJ
ajst-20191	49	13	index	index	NOUN
ajst-20191	49	14	are	be	AUX
ajst-20191	49	15	the	the	DET
ajst-20191	49	16	worst	bad	ADJ
ajst-20191	49	17	and	and	CCONJ
ajst-20191	49	18	should	should	AUX
ajst-20191	49	19	not	not	PART
ajst-20191	49	20	be	be	AUX
ajst-20191	49	21	used	use	VERB
ajst-20191	49	22	as	as	ADP
ajst-20191	49	23	the	the	DET
ajst-20191	49	24	decisive	decisive	ADJ
ajst-20191	49	25	index	index	NOUN
ajst-20191	49	26	;	;	PUNCT
ajst-20191	49	27	the	the	DET
ajst-20191	49	28	mean	mean	ADJ
ajst-20191	49	29	absolute	absolute	ADJ
ajst-20191	49	30	difference	difference	NOUN
ajst-20191	49	31	and	and	CCONJ
ajst-20191	49	32	mean	mean	ADJ
ajst-20191	49	33	variance	variance	NOUN
ajst-20191	49	34	index	index	NOUN
ajst-20191	49	35	are	be	AUX
ajst-20191	49	36	close	close	ADJ
ajst-20191	49	37	to	to	ADP
ajst-20191	49	38	the	the	DET
ajst-20191	49	39	cross	cross	ADJ
ajst-20191	49	40	-	-	ADJ
ajst-20191	49	41	correlation	correlation	ADJ
ajst-20191	49	42	index	index	NOUN
ajst-20191	49	43	,	,	PUNCT
ajst-20191	49	44	and	and	CCONJ
ajst-20191	49	45	the	the	DET
ajst-20191	49	46	mean	mean	ADJ
ajst-20191	49	47	variance	variance	NOUN
ajst-20191	49	48	index	index	NOUN
ajst-20191	49	49	is	be	AUX
ajst-20191	49	50	actually	actually	ADV
ajst-20191	49	51	the	the	DET
ajst-20191	49	52	index	index	NOUN
ajst-20191	49	53	after	after	ADP
ajst-20191	49	54	amplifying	amplify	VERB
ajst-20191	49	55	the	the	DET
ajst-20191	49	56	average	average	ADJ
ajst-20191	49	57	absolute	absolute	ADJ
ajst-20191	49	58	difference	difference	NOUN
ajst-20191	49	59	index	index	NOUN
ajst-20191	49	60	,	,	PUNCT
ajst-20191	49	61	so	so	CCONJ
ajst-20191	49	62	the	the	DET
ajst-20191	49	63	mean	mean	ADJ
ajst-20191	49	64	variance	variance	NOUN
ajst-20191	49	65	index	index	NOUN
ajst-20191	49	66	is	be	AUX
ajst-20191	49	67	used	use	VERB
ajst-20191	49	68	more	more	ADV
ajst-20191	49	69	often	often	ADV
ajst-20191	49	70	in	in	ADP
ajst-20191	49	71	practical	practical	ADJ
ajst-20191	49	72	application	application	NOUN
ajst-20191	49	73	.	.	PUNCT
ajst-20191	50	1	tercom	tercom	VERB
ajst-20191	50	2	the	the	DET
ajst-20191	50	3	algorithm	algorithm	NOUN
ajst-20191	50	4	does	do	AUX
ajst-20191	50	5	not	not	PART
ajst-20191	50	6	require	require	VERB
ajst-20191	50	7	the	the	DET
ajst-20191	50	8	initial	initial	ADJ
ajst-20191	50	9	position	position	NOUN
ajst-20191	50	10	,	,	PUNCT
ajst-20191	50	11	is	be	AUX
ajst-20191	50	12	not	not	PART
ajst-20191	50	13	easily	easily	ADV
ajst-20191	50	14	affected	affect	VERB
ajst-20191	50	15	by	by	ADP
ajst-20191	50	16	the	the	DET
ajst-20191	50	17	initial	initial	ADJ
ajst-20191	50	18	positioning	positioning	NOUN
ajst-20191	50	19	error	error	NOUN
ajst-20191	50	20	,	,	PUNCT
ajst-20191	50	21	and	and	CCONJ
ajst-20191	50	22	has	have	VERB
ajst-20191	50	23	high	high	ADJ
ajst-20191	50	24	reliability	reliability	NOUN
ajst-20191	50	25	when	when	SCONJ
ajst-20191	50	26	the	the	DET
ajst-20191	50	27	gravitational	gravitational	ADJ
ajst-20191	50	28	field	field	NOUN
ajst-20191	50	29	features	feature	NOUN
ajst-20191	50	30	are	be	AUX
ajst-20191	50	31	rich	rich	ADJ
ajst-20191	50	32	and	and	CCONJ
ajst-20191	50	33	the	the	DET
ajst-20191	50	34	search	search	NOUN
ajst-20191	50	35	range	range	NOUN
ajst-20191	50	36	is	be	AUX
ajst-20191	50	37	large	large	ADJ
ajst-20191	50	38	enough	enough	ADV
ajst-20191	50	39	.	.	PUNCT
ajst-20191	51	1	moreover	moreover	ADV
ajst-20191	51	2	,	,	PUNCT
ajst-20191	51	3	the	the	DET
ajst-20191	51	4	tercom	tercom	NOUN
ajst-20191	51	5	algorithm	algorithm	NOUN
ajst-20191	51	6	process	process	NOUN
ajst-20191	51	7	is	be	AUX
ajst-20191	51	8	simple	simple	ADJ
ajst-20191	51	9	and	and	CCONJ
ajst-20191	51	10	the	the	DET
ajst-20191	51	11	calculation	calculation	NOUN
ajst-20191	51	12	amount	amount	NOUN
ajst-20191	51	13	is	be	AUX
ajst-20191	51	14	small	small	ADJ
ajst-20191	51	15	.	.	PUNCT
ajst-20191	52	1	after	after	ADP
ajst-20191	52	2	improvement	improvement	NOUN
ajst-20191	52	3	,	,	PUNCT
ajst-20191	52	4	it	it	PRON
ajst-20191	52	5	can	can	AUX
ajst-20191	52	6	quickly	quickly	ADV
ajst-20191	52	7	locate	locate	VERB
ajst-20191	52	8	and	and	CCONJ
ajst-20191	52	9	ensure	ensure	VERB
ajst-20191	52	10	a	a	DET
ajst-20191	52	11	certain	certain	ADJ
ajst-20191	52	12	accuracy	accuracy	NOUN
ajst-20191	52	13	.	.	PUNCT
ajst-20191	53	1	3	3	X
ajst-20191	53	2	.	.	X
ajst-20191	53	3	results	result	NOUN
ajst-20191	53	4	in	in	ADP
ajst-20191	53	5	this	this	DET
ajst-20191	53	6	paper	paper	NOUN
ajst-20191	53	7	,	,	PUNCT
ajst-20191	53	8	the	the	DET
ajst-20191	53	9	gravity	gravity	NOUN
ajst-20191	53	10	anomaly	anomaly	NOUN
ajst-20191	53	11	data	datum	NOUN
ajst-20191	53	12	of	of	ADP
ajst-20191	53	13	the	the	DET
ajst-20191	53	14	university	university	PROPN
ajst-20191	53	15	of	of	ADP
ajst-20191	53	16	california	california	PROPN
ajst-20191	53	17	san	san	PROPN
ajst-20191	53	18	diego	diego	PROPN
ajst-20191	53	19	website（http://topex.ucsd.edu/）was	website（http://topex.ucsd.edu/）wa	VERB
ajst-20191	53	20	used	use	VERB
ajst-20191	53	21	,	,	PUNCT
ajst-20191	53	22	and	and	CCONJ
ajst-20191	53	23	the	the	DET
ajst-20191	53	24	resolution	resolution	NOUN
ajst-20191	53	25	is1	is1	PROPN
ajst-20191	53	26	1	1	PROPN
ajst-20191	53	27			PROPN
ajst-20191	53	28	.	.	PUNCT
ajst-20191	54	1	some	some	DET
ajst-20191	54	2	areas	area	NOUN
ajst-20191	54	3	of	of	ADP
ajst-20191	54	4	the	the	DET
ajst-20191	54	5	south	south	PROPN
ajst-20191	54	6	china	china	PROPN
ajst-20191	54	7	sea	sea	PROPN
ajst-20191	54	8	were	be	AUX
ajst-20191	54	9	selected	select	VERB
ajst-20191	54	10	for	for	ADP
ajst-20191	54	11	research	research	NOUN
ajst-20191	54	12	,	,	PUNCT
ajst-20191	54	13	and	and	CCONJ
ajst-20191	54	14	the	the	DET
ajst-20191	54	15	latitude	latitude	NOUN
ajst-20191	54	16	and	and	CCONJ
ajst-20191	54	17	longitude	longitude	ADJ
ajst-20191	54	18	ranges	range	NOUN
ajst-20191	54	19	are	be	AUX
ajst-20191	54	20	110	110	NUM
ajst-20191	54	21	°	°	NOUN
ajst-20191	54	22	e-113	e-113	NOUN
ajst-20191	54	23	°	°	NOUN
ajst-20191	54	24	e	e	NOUN
ajst-20191	54	25	and	and	CCONJ
ajst-20191	54	26	9	9	NUM
ajst-20191	54	27	°	°	NOUN
ajst-20191	54	28	n-12	n-12	NOUN
ajst-20191	54	29	°	°	NOUN
ajst-20191	54	30	n.	n.	NOUN
ajst-20191	54	31	then	then	ADV
ajst-20191	54	32	,	,	PUNCT
ajst-20191	54	33	matlab	matlab	PROPN
ajst-20191	54	34	software	software	NOUN
ajst-20191	54	35	was	be	AUX
ajst-20191	54	36	employed	employ	VERB
ajst-20191	54	37	to	to	PART
ajst-20191	54	38	perform	perform	VERB
ajst-20191	54	39	linear	linear	ADJ
ajst-20191	54	40	interpolation	interpolation	NOUN
ajst-20191	54	41	on	on	ADP
ajst-20191	54	42	the	the	DET
ajst-20191	54	43	gravity	gravity	NOUN
ajst-20191	54	44	map	map	NOUN
ajst-20191	54	45	of	of	ADP
ajst-20191	54	46	this	this	DET
ajst-20191	54	47	area	area	NOUN
ajst-20191	54	48	.	.	PUNCT
ajst-20191	55	1	the	the	DET
ajst-20191	55	2	spatial	spatial	ADJ
ajst-20191	55	3	resolution	resolution	NOUN
ajst-20191	55	4	of	of	ADP
ajst-20191	55	5	the	the	DET
ajst-20191	55	6	interpolated	interpolate	VERB
ajst-20191	55	7	image	image	NOUN
ajst-20191	55	8	is	be	AUX
ajst-20191	55	9	approximately	approximately	ADV
ajst-20191	55	10	100m×100	100m×100	PROPN
ajst-20191	55	11	m	m	PROPN
ajst-20191	55	12	,	,	PUNCT
ajst-20191	55	13	as	as	SCONJ
ajst-20191	55	14	shown	show	VERB
ajst-20191	55	15	in	in	ADP
ajst-20191	55	16	figure	figure	NOUN
ajst-20191	55	17	2	2	NUM
ajst-20191	55	18	,	,	PUNCT
ajst-20191	55	19	which	which	PRON
ajst-20191	55	20	is	be	AUX
ajst-20191	55	21	the	the	DET
ajst-20191	55	22	twodimensional	twodimensional	ADJ
ajst-20191	55	23	gravity	gravity	NOUN
ajst-20191	55	24	anomaly	anomaly	NOUN
ajst-20191	55	25	map	map	NOUN
ajst-20191	55	26	of	of	ADP
ajst-20191	55	27	the	the	DET
ajst-20191	55	28	study	study	NOUN
ajst-20191	55	29	area	area	NOUN
ajst-20191	55	30	with	with	ADP
ajst-20191	55	31	a	a	DET
ajst-20191	55	32	resolution	resolution	NOUN
ajst-20191	55	33	of	of	ADP
ajst-20191	55	34	100m×100	100m×100	PROPN
ajst-20191	55	35	m.	m.	NOUN
ajst-20191	55	36	the	the	DET
ajst-20191	55	37	maximum	maximum	ADJ
ajst-20191	55	38	value	value	NOUN
ajst-20191	55	39	of	of	ADP
ajst-20191	55	40	gravity	gravity	NOUN
ajst-20191	55	41	anomaly	anomaly	NOUN
ajst-20191	55	42	in	in	ADP
ajst-20191	55	43	this	this	DET
ajst-20191	55	44	area	area	NOUN
ajst-20191	55	45	is	be	AUX
ajst-20191	55	46	120.300	120.300	NUM
ajst-20191	55	47	mgal	mgal	NOUN
ajst-20191	55	48	,	,	PUNCT
ajst-20191	55	49	the	the	DET
ajst-20191	55	50	minimum	minimum	NOUN
ajst-20191	55	51	value	value	NOUN
ajst-20191	55	52	is−39.500	is−39.500	NUM
ajst-20191	55	53	mgal	mgal	NOUN
ajst-20191	55	54	,	,	PUNCT
ajst-20191	55	55	and	and	CCONJ
ajst-20191	55	56	the	the	DET
ajst-20191	55	57	average	average	ADJ
ajst-20191	55	58	value	value	NOUN
ajst-20191	55	59	is	be	AUX
ajst-20191	55	60	6.309	6.309	NUM
ajst-20191	55	61	mgal.in	mgal.in	PRON
ajst-20191	55	62	this	this	DET
ajst-20191	55	63	paper	paper	NOUN
ajst-20191	55	64	,	,	PUNCT
ajst-20191	55	65	the	the	DET
ajst-20191	55	66	sliding	slide	VERB
ajst-20191	55	67	window	window	NOUN
ajst-20191	55	68	is	be	AUX
ajst-20191	55	69	used	use	VERB
ajst-20191	55	70	to	to	PART
ajst-20191	55	71	divide	divide	VERB
ajst-20191	55	72	this	this	DET
ajst-20191	55	73	area	area	NOUN
ajst-20191	55	74	into	into	ADP
ajst-20191	55	75	484	484	NUM
ajst-20191	55	76	sub	sub	NOUN
ajst-20191	55	77	-	-	NOUN
ajst-20191	55	78	regions	region	NOUN
ajst-20191	55	79	.	.	PUNCT
ajst-20191	56	1	the	the	DET
ajst-20191	56	2	sliding	slide	VERB
ajst-20191	56	3	window	window	NOUN
ajst-20191	56	4	size	size	NOUN
ajst-20191	56	5	is	be	AUX
ajst-20191	56	6	150×150	150×150	NUM
ajst-20191	56	7	grid	grid	NOUN
ajst-20191	56	8	cells	cell	NOUN
ajst-20191	56	9	,	,	PUNCT
ajst-20191	56	10	with	with	ADP
ajst-20191	56	11	the	the	DET
ajst-20191	56	12	sliding	slide	VERB
ajst-20191	56	13	step	step	NOUN
ajst-20191	56	14	of	of	ADP
ajst-20191	56	15	150	150	NUM
ajst-20191	56	16	cells	cell	NOUN
ajst-20191	56	17	.	.	PUNCT
ajst-20191	57	1	the	the	DET
ajst-20191	57	2	actual	actual	ADJ
ajst-20191	57	3	size	size	NOUN
ajst-20191	57	4	of	of	ADP
ajst-20191	57	5	each	each	DET
ajst-20191	57	6	subregion	subregion	NOUN
ajst-20191	57	7	is	be	AUX
ajst-20191	57	8	about	about	ADV
ajst-20191	57	9	15km×15	15km×15	NUM
ajst-20191	57	10	km	km	NOUN
ajst-20191	57	11	.	.	PUNCT
ajst-20191	58	1	figure	figure	NOUN
ajst-20191	58	2	2	2	NUM
ajst-20191	58	3	.	.	PUNCT
ajst-20191	58	4	marine	marine	ADJ
ajst-20191	58	5	gravity	gravity	NOUN
ajst-20191	58	6	anomaly	anomaly	NOUN
ajst-20191	58	7	map	map	NOUN
ajst-20191	58	8	with	with	ADP
ajst-20191	58	9	100m×100	100m×100	PROPN
ajst-20191	58	10	m	m	NOUN
ajst-20191	58	11	resolutions	resolution	NOUN
ajst-20191	58	12	.	.	PUNCT
ajst-20191	59	1	in	in	ADP
ajst-20191	59	2	order	order	NOUN
ajst-20191	59	3	to	to	PART
ajst-20191	59	4	contrast	contrast	VERB
ajst-20191	59	5	and	and	CCONJ
ajst-20191	59	6	illustrate	illustrate	VERB
ajst-20191	59	7	the	the	DET
ajst-20191	59	8	relationship	relationship	NOUN
ajst-20191	59	9	between	between	ADP
ajst-20191	59	10	characteristic	characteristic	ADJ
ajst-20191	59	11	parameters	parameter	NOUN
ajst-20191	59	12	and	and	CCONJ
ajst-20191	59	13	positioning	positioning	NOUN
ajst-20191	59	14	accuracy	accuracy	NOUN
ajst-20191	59	15	,	,	PUNCT
ajst-20191	59	16	four	four	NUM
ajst-20191	59	17	regions	region	NOUN
ajst-20191	59	18	(	(	PUNCT
ajst-20191	59	19	1,2,3,4	1,2,3,4	NUM
ajst-20191	59	20	)	)	PUNCT
ajst-20191	59	21	in	in	ADP
ajst-20191	59	22	fig.2	fig.2	NOUN
ajst-20191	59	23	were	be	AUX
ajst-20191	59	24	selected	select	VERB
ajst-20191	59	25	for	for	ADP
ajst-20191	59	26	verification	verification	NOUN
ajst-20191	59	27	.	.	PUNCT
ajst-20191	60	1	it	it	PRON
ajst-20191	60	2	can	can	AUX
ajst-20191	60	3	be	be	AUX
ajst-20191	60	4	observed	observe	VERB
ajst-20191	60	5	that	that	SCONJ
ajst-20191	60	6	regions	region	NOUN
ajst-20191	60	7	2	2	NUM
ajst-20191	60	8	and	and	CCONJ
ajst-20191	60	9	3	3	NUM
ajst-20191	60	10	exhibit	exhibit	VERB
ajst-20191	60	11	drastic	drastic	ADJ
ajst-20191	60	12	variations	variation	NOUN
ajst-20191	60	13	in	in	ADP
ajst-20191	60	14	84	84	NUM
ajst-20191	60	15	gravity	gravity	NOUN
ajst-20191	60	16	anomalies	anomaly	NOUN
ajst-20191	60	17	,	,	PUNCT
ajst-20191	60	18	and	and	CCONJ
ajst-20191	60	19	regions	region	NOUN
ajst-20191	60	20	1	1	NUM
ajst-20191	60	21	and	and	CCONJ
ajst-20191	60	22	4	4	NUM
ajst-20191	60	23	have	have	VERB
ajst-20191	60	24	relatively	relatively	ADV
ajst-20191	60	25	gentle	gentle	ADJ
ajst-20191	60	26	variations	variation	NOUN
ajst-20191	60	27	.	.	PUNCT
ajst-20191	61	1	the	the	DET
ajst-20191	61	2	data	datum	NOUN
ajst-20191	61	3	in	in	ADP
ajst-20191	61	4	table	table	NOUN
ajst-20191	61	5	1	1	NUM
ajst-20191	61	6	are	be	AUX
ajst-20191	61	7	the	the	DET
ajst-20191	61	8	feature	feature	NOUN
ajst-20191	61	9	values	value	NOUN
ajst-20191	61	10	of	of	ADP
ajst-20191	61	11	the	the	DET
ajst-20191	61	12	four	four	NUM
ajst-20191	61	13	regions(1,2,3,4	regions(1,2,3,4	ADJ
ajst-20191	61	14	)	)	PUNCT
ajst-20191	61	15	after	after	ADP
ajst-20191	61	16	z	z	NOUN
ajst-20191	61	17	-	-	PUNCT
ajst-20191	61	18	score	score	NOUN
ajst-20191	61	19	standardization	standardization	NOUN
ajst-20191	61	20	.	.	PUNCT
ajst-20191	62	1	in	in	ADP
ajst-20191	62	2	theory	theory	NOUN
ajst-20191	62	3	,	,	PUNCT
ajst-20191	62	4	the	the	DET
ajst-20191	62	5	larger	large	ADJ
ajst-20191	62	6	parameter	parameter	NOUN
ajst-20191	62	7	values	value	NOUN
ajst-20191	62	8	indicate	indicate	VERB
ajst-20191	62	9	more	more	ADJ
ajst-20191	62	10	prominent	prominent	ADJ
ajst-20191	62	11	gravity	gravity	NOUN
ajst-20191	62	12	field	field	NOUN
ajst-20191	62	13	features	feature	VERB
ajst-20191	62	14	and	and	CCONJ
ajst-20191	62	15	better	well	ADJ
ajst-20191	62	16	matching	matching	NOUN
ajst-20191	62	17	effects	effect	NOUN
ajst-20191	62	18	.	.	PUNCT
ajst-20191	63	1	upon	upon	SCONJ
ajst-20191	63	2	comparison	comparison	NOUN
ajst-20191	63	3	,	,	PUNCT
ajst-20191	63	4	it	it	PRON
ajst-20191	63	5	is	be	AUX
ajst-20191	63	6	evident	evident	ADJ
ajst-20191	63	7	that	that	SCONJ
ajst-20191	63	8	region	region	NOUN
ajst-20191	63	9	2	2	NUM
ajst-20191	63	10	has	have	VERB
ajst-20191	63	11	the	the	DET
ajst-20191	63	12	largest	large	ADJ
ajst-20191	63	13	values	value	NOUN
ajst-20191	63	14	for	for	ADP
ajst-20191	63	15	all	all	DET
ajst-20191	63	16	parameters	parameter	NOUN
ajst-20191	63	17	,	,	PUNCT
ajst-20191	63	18	and	and	CCONJ
ajst-20191	63	19	region	region	NOUN
ajst-20191	63	20	3	3	NUM
ajst-20191	63	21	has	have	VERB
ajst-20191	63	22	positive	positive	ADJ
ajst-20191	63	23	values	value	NOUN
ajst-20191	63	24	for	for	ADP
ajst-20191	63	25	all	all	DET
ajst-20191	63	26	parameters	parameter	NOUN
ajst-20191	63	27	,	,	PUNCT
ajst-20191	63	28	indicating	indicate	VERB
ajst-20191	63	29	more	more	ADV
ajst-20191	63	30	pronounced	pronounced	ADJ
ajst-20191	63	31	gravity	gravity	NOUN
ajst-20191	63	32	anomalies	anomaly	NOUN
ajst-20191	63	33	in	in	ADP
ajst-20191	63	34	these	these	DET
ajst-20191	63	35	two	two	NUM
ajst-20191	63	36	regions	region	NOUN
ajst-20191	63	37	.	.	PUNCT
ajst-20191	64	1	on	on	ADP
ajst-20191	64	2	the	the	DET
ajst-20191	64	3	other	other	ADJ
ajst-20191	64	4	hand	hand	NOUN
ajst-20191	64	5	,	,	PUNCT
ajst-20191	64	6	the	the	DET
ajst-20191	64	7	values	value	NOUN
ajst-20191	64	8	of	of	ADP
ajst-20191	64	9	each	each	DET
ajst-20191	64	10	parameter	parameter	NOUN
ajst-20191	64	11	in	in	ADP
ajst-20191	64	12	regions	region	NOUN
ajst-20191	64	13	1	1	NUM
ajst-20191	64	14	and	and	CCONJ
ajst-20191	64	15	4	4	NUM
ajst-20191	64	16	are	be	AUX
ajst-20191	64	17	negative	negative	ADJ
ajst-20191	64	18	,	,	PUNCT
ajst-20191	64	19	suggesting	suggest	VERB
ajst-20191	64	20	a	a	DET
ajst-20191	64	21	relatively	relatively	ADV
ajst-20191	64	22	gentle	gentle	ADJ
ajst-20191	64	23	distribution	distribution	NOUN
ajst-20191	64	24	of	of	ADP
ajst-20191	64	25	gravity	gravity	NOUN
ajst-20191	64	26	anomalies	anomaly	NOUN
ajst-20191	64	27	in	in	ADP
ajst-20191	64	28	these	these	DET
ajst-20191	64	29	two	two	NUM
ajst-20191	64	30	regions	region	NOUN
ajst-20191	64	31	.	.	PUNCT
ajst-20191	65	1	overall	overall	ADV
ajst-20191	65	2	,	,	PUNCT
ajst-20191	65	3	there	there	PRON
ajst-20191	65	4	are	be	VERB
ajst-20191	65	5	significant	significant	ADJ
ajst-20191	65	6	differences	difference	NOUN
ajst-20191	65	7	in	in	ADP
ajst-20191	65	8	the	the	DET
ajst-20191	65	9	feature	feature	NOUN
ajst-20191	65	10	values	value	NOUN
ajst-20191	65	11	between	between	ADP
ajst-20191	65	12	regions	region	NOUN
ajst-20191	65	13	1,4	1,4	NUM
ajst-20191	65	14	,	,	PUNCT
ajst-20191	65	15	and	and	CCONJ
ajst-20191	65	16	regions	region	NOUN
ajst-20191	65	17	2,3	2,3	NUM
ajst-20191	65	18	.	.	PUNCT
ajst-20191	66	1	by	by	ADP
ajst-20191	66	2	comparing	compare	VERB
ajst-20191	66	3	with	with	ADP
ajst-20191	66	4	the	the	DET
ajst-20191	66	5	gravity	gravity	NOUN
ajst-20191	66	6	field	field	NOUN
ajst-20191	66	7	distribution	distribution	NOUN
ajst-20191	66	8	of	of	ADP
ajst-20191	66	9	each	each	DET
ajst-20191	66	10	region	region	NOUN
ajst-20191	66	11	in	in	ADP
ajst-20191	66	12	figure	figure	NOUN
ajst-20191	66	13	2	2	NUM
ajst-20191	66	14	,	,	PUNCT
ajst-20191	66	15	the	the	DET
ajst-20191	66	16	selected	select	VERB
ajst-20191	66	17	characteristic	characteristic	ADJ
ajst-20191	66	18	parameters	parameter	NOUN
ajst-20191	66	19	in	in	ADP
ajst-20191	66	20	this	this	DET
ajst-20191	66	21	paper	paper	NOUN
ajst-20191	66	22	can	can	AUX
ajst-20191	66	23	effectively	effectively	ADV
ajst-20191	66	24	reflect	reflect	VERB
ajst-20191	66	25	the	the	DET
ajst-20191	66	26	gravity	gravity	NOUN
ajst-20191	66	27	field	field	NOUN
ajst-20191	66	28	distribution	distribution	NOUN
ajst-20191	66	29	characteristics	characteristic	NOUN
ajst-20191	66	30	.	.	PUNCT
ajst-20191	67	1	then	then	ADV
ajst-20191	67	2	1000	1000	NUM
ajst-20191	67	3	trajectory	trajectory	NOUN
ajst-20191	67	4	matches	match	NOUN
ajst-20191	67	5	were	be	AUX
ajst-20191	67	6	carried	carry	VERB
ajst-20191	67	7	out	out	ADP
ajst-20191	67	8	in	in	ADP
ajst-20191	67	9	the	the	DET
ajst-20191	67	10	selected	select	VERB
ajst-20191	67	11	four	four	NUM
ajst-20191	67	12	regions	region	NOUN
ajst-20191	67	13	.	.	PUNCT
ajst-20191	68	1	the	the	DET
ajst-20191	68	2	simulation	simulation	NOUN
ajst-20191	68	3	parameters	parameter	NOUN
ajst-20191	68	4	are	be	AUX
ajst-20191	68	5	set	set	VERB
ajst-20191	68	6	as	as	SCONJ
ajst-20191	68	7	follows	follow	VERB
ajst-20191	68	8	:	:	PUNCT
ajst-20191	68	9	the	the	DET
ajst-20191	68	10	constant	constant	ADJ
ajst-20191	68	11	drift	drift	NOUN
ajst-20191	68	12	of	of	ADP
ajst-20191	68	13	gyroscope	gyroscope	NOUN
ajst-20191	68	14	in	in	ADP
ajst-20191	68	15	the	the	DET
ajst-20191	68	16	inertial	inertial	ADJ
ajst-20191	68	17	navigation	navigation	NOUN
ajst-20191	68	18	system	system	NOUN
ajst-20191	68	19	was	be	AUX
ajst-20191	68	20	set	set	VERB
ajst-20191	68	21	to	to	ADP
ajst-20191	68	22	0.05	0.05	NUM
ajst-20191	68	23	°	°	NOUN
ajst-20191	68	24	/h	/h	NOUN
ajst-20191	68	25	,	,	PUNCT
ajst-20191	68	26	the	the	DET
ajst-20191	68	27	constant	constant	ADJ
ajst-20191	68	28	error	error	NOUN
ajst-20191	68	29	of	of	ADP
ajst-20191	68	30	accelerometer	accelerometer	NOUN
ajst-20191	68	31	was	be	AUX
ajst-20191	68	32	set	set	VERB
ajst-20191	68	33	to	to	ADP
ajst-20191	68	34	0.04	0.04	NUM
ajst-20191	68	35	2sm	2sm	NOUN
ajst-20191	68	36			PROPN
ajst-20191	68	37	,	,	PUNCT
ajst-20191	68	38	the	the	DET
ajst-20191	68	39	simulated	simulate	VERB
ajst-20191	68	40	speed	speed	NOUN
ajst-20191	68	41	was	be	AUX
ajst-20191	68	42	10	10	NUM
ajst-20191	68	43	m/s	m/s	NUM
ajst-20191	68	44	.	.	PUNCT
ajst-20191	69	1	the	the	DET
ajst-20191	69	2	number	number	NOUN
ajst-20191	69	3	of	of	ADP
ajst-20191	69	4	sampling	sample	VERB
ajst-20191	69	5	points	point	NOUN
ajst-20191	69	6	was	be	AUX
ajst-20191	69	7	140	140	NUM
ajst-20191	69	8	,	,	PUNCT
ajst-20191	69	9	and	and	CCONJ
ajst-20191	69	10	the	the	DET
ajst-20191	69	11	sampling	sample	VERB
ajst-20191	69	12	period	period	NOUN
ajst-20191	69	13	was	be	AUX
ajst-20191	69	14	10s	10	NOUN
ajst-20191	69	15	.	.	PUNCT
ajst-20191	70	1	the	the	DET
ajst-20191	70	2	random	random	ADJ
ajst-20191	70	3	error	error	NOUN
ajst-20191	70	4	with	with	ADP
ajst-20191	70	5	a	a	DET
ajst-20191	70	6	standard	standard	ADJ
ajst-20191	70	7	deviation	deviation	NOUN
ajst-20191	70	8	of	of	ADP
ajst-20191	70	9	1mgal	1mgal	PROPN
ajst-20191	70	10	was	be	AUX
ajst-20191	70	11	superimposed	superimpose	VERB
ajst-20191	70	12	on	on	ADP
ajst-20191	70	13	the	the	DET
ajst-20191	70	14	sampling	sampling	NOUN
ajst-20191	70	15	value	value	NOUN
ajst-20191	70	16	as	as	ADP
ajst-20191	70	17	the	the	DET
ajst-20191	70	18	real	real	ADJ
ajst-20191	70	19	-	-	PUNCT
ajst-20191	70	20	time	time	NOUN
ajst-20191	70	21	measurement	measurement	NOUN
ajst-20191	70	22	data	datum	NOUN
ajst-20191	70	23	of	of	ADP
ajst-20191	70	24	the	the	DET
ajst-20191	70	25	gravimeter	gravimeter	NOUN
ajst-20191	70	26	,	,	PUNCT
ajst-20191	70	27	and	and	CCONJ
ajst-20191	70	28	the	the	DET
ajst-20191	70	29	tercom	tercom	PROPN
ajst-20191	70	30	algorithm	algorithm	NOUN
ajst-20191	70	31	was	be	AUX
ajst-20191	70	32	used	use	VERB
ajst-20191	70	33	for	for	ADP
ajst-20191	70	34	trajectory	trajectory	NOUN
ajst-20191	70	35	matching	matching	NOUN
ajst-20191	70	36	.	.	PUNCT
ajst-20191	71	1	the	the	DET
ajst-20191	71	2	distribution	distribution	NOUN
ajst-20191	71	3	of	of	ADP
ajst-20191	71	4	positioning	positioning	NOUN
ajst-20191	71	5	accuracy	accuracy	NOUN
ajst-20191	71	6	obtained	obtain	VERB
ajst-20191	71	7	from	from	ADP
ajst-20191	71	8	the	the	DET
ajst-20191	71	9	simulation	simulation	NOUN
ajst-20191	71	10	experiments	experiment	NOUN
ajst-20191	71	11	is	be	AUX
ajst-20191	71	12	shown	show	VERB
ajst-20191	71	13	in	in	ADP
ajst-20191	71	14	figure	figure	NOUN
ajst-20191	71	15	3	3	NUM
ajst-20191	71	16	.	.	PUNCT
ajst-20191	71	17	table	table	NOUN
ajst-20191	71	18	1	1	NUM
ajst-20191	71	19	.	.	PUNCT
ajst-20191	71	20	characteristic	characteristic	ADJ
ajst-20191	71	21	parameters	parameter	NOUN
ajst-20191	71	22	of	of	ADP
ajst-20191	71	23	the	the	DET
ajst-20191	71	24	selected	select	VERB
ajst-20191	71	25	areas	area	NOUN
ajst-20191	71	26	.	.	PUNCT
ajst-20191	72	1	area	area	NOUN
ajst-20191	72	2	range	range	NOUN
ajst-20191	72	3	pooling	pool	VERB
ajst-20191	72	4	difference	difference	NOUN
ajst-20191	72	5	standard	standard	ADJ
ajst-20191	72	6	deviation	deviation	NOUN
ajst-20191	72	7	of	of	ADP
ajst-20191	72	8	gravity	gravity	NOUN
ajst-20191	72	9	anomaly	anomaly	NOUN
ajst-20191	72	10	roughness	roughness	NOUN
ajst-20191	72	11	correlation	correlation	NOUN
ajst-20191	72	12	coefficient	coefficient	NOUN
ajst-20191	72	13	1	1	NUM
ajst-20191	72	14	1.1032	1.1032	NUM
ajst-20191	72	15	-1.0852	-1.0852	NOUN
ajst-20191	72	16	-1.1184	-1.1184	NOUN
ajst-20191	73	1	-1.0332	-1.0332	X
ajst-20191	73	2	-1.1207	-1.1207	VERB
ajst-20191	73	3	2	2	NUM
ajst-20191	73	4	1.1271	1.1271	NUM
ajst-20191	73	5	1.3245	1.3245	NUM
ajst-20191	73	6	1.2524	1.2524	NUM
ajst-20191	73	7	0.8901	0.8901	NUM
ajst-20191	73	8	1.2461	1.2461	NUM
ajst-20191	73	9	3	3	NUM
ajst-20191	73	10	0.4941	0.4941	NUM
ajst-20191	73	11	0.0205	0.0205	NUM
ajst-20191	73	12	0.2262	0.2262	NUM
ajst-20191	74	1	0.8232	0.8232	NUM
ajst-20191	74	2	0.2401	0.2401	NUM
ajst-20191	74	3	4	4	NUM
ajst-20191	74	4	0.5180	0.5180	NUM
ajst-20191	74	5	-0.2598	-0.2598	PROPN
ajst-20191	74	6	-0.3601	-0.3601	X
ajst-20191	74	7	-0.6801	-0.6801	PROPN
ajst-20191	74	8	-0.3656	-0.3656	INTJ
ajst-20191	74	9	figure	figure	VERB
ajst-20191	74	10	3	3	NUM
ajst-20191	74	11	.	.	PUNCT
ajst-20191	75	1	the	the	DET
ajst-20191	75	2	positioning	positioning	NOUN
ajst-20191	75	3	error	error	NOUN
ajst-20191	75	4	of	of	ADP
ajst-20191	75	5	areas	area	NOUN
ajst-20191	75	6	1,2,3	1,2,3	NUM
ajst-20191	75	7	and	and	CCONJ
ajst-20191	75	8	4	4	NUM
ajst-20191	75	9	it	it	PRON
ajst-20191	75	10	can	can	AUX
ajst-20191	75	11	be	be	AUX
ajst-20191	75	12	seen	see	VERB
ajst-20191	75	13	from	from	ADP
ajst-20191	75	14	fig.3	fig.3	PROPN
ajst-20191	75	15	and	and	CCONJ
ajst-20191	75	16	table	table	NOUN
ajst-20191	75	17	2	2	NUM
ajst-20191	75	18	that	that	PRON
ajst-20191	75	19	the	the	DET
ajst-20191	75	20	positioning	positioning	NOUN
ajst-20191	75	21	accuracy	accuracy	NOUN
ajst-20191	75	22	mean	mean	VERB
ajst-20191	75	23	for	for	ADP
ajst-20191	75	24	region	region	NOUN
ajst-20191	75	25	1	1	NUM
ajst-20191	75	26	reaches	reach	VERB
ajst-20191	75	27	460.94	460.94	NUM
ajst-20191	75	28	m	m	NOUN
ajst-20191	75	29	,	,	PUNCT
ajst-20191	75	30	and	and	CCONJ
ajst-20191	75	31	the	the	DET
ajst-20191	75	32	error	error	NOUN
ajst-20191	75	33	fluctuation	fluctuation	NOUN
ajst-20191	75	34	range	range	NOUN
ajst-20191	75	35	is	be	AUX
ajst-20191	75	36	the	the	DET
ajst-20191	75	37	most	most	ADV
ajst-20191	75	38	severe	severe	ADJ
ajst-20191	75	39	in	in	ADP
ajst-20191	75	40	100	100	NUM
ajst-20191	75	41	experiments	experiment	NOUN
ajst-20191	75	42	,	,	PUNCT
ajst-20191	75	43	indicating	indicate	VERB
ajst-20191	75	44	the	the	DET
ajst-20191	75	45	poorest	poor	ADJ
ajst-20191	75	46	matching	matching	NOUN
ajst-20191	75	47	performance	performance	NOUN
ajst-20191	75	48	in	in	ADP
ajst-20191	75	49	this	this	DET
ajst-20191	75	50	region	region	NOUN
ajst-20191	75	51	.	.	PUNCT
ajst-20191	76	1	the	the	DET
ajst-20191	76	2	positioning	positioning	NOUN
ajst-20191	76	3	accuracy	accuracy	NOUN
ajst-20191	76	4	of	of	ADP
ajst-20191	76	5	region	region	NOUN
ajst-20191	76	6	4	4	NUM
ajst-20191	76	7	is	be	AUX
ajst-20191	76	8	smaller	small	ADJ
ajst-20191	76	9	than	than	ADP
ajst-20191	76	10	that	that	PRON
ajst-20191	76	11	of	of	ADP
ajst-20191	76	12	region	region	NOUN
ajst-20191	76	13	1	1	NUM
ajst-20191	76	14	but	but	CCONJ
ajst-20191	76	15	also	also	ADV
ajst-20191	76	16	reaches	reach	VERB
ajst-20191	76	17	348.77	348.77	NUM
ajst-20191	76	18	m	m	NOUN
ajst-20191	76	19	,	,	PUNCT
ajst-20191	76	20	and	and	CCONJ
ajst-20191	76	21	most	most	ADJ
ajst-20191	76	22	of	of	ADP
ajst-20191	76	23	the	the	DET
ajst-20191	76	24	positioning	positioning	NOUN
ajst-20191	76	25	accuracy	accuracy	NOUN
ajst-20191	76	26	exceeds	exceed	VERB
ajst-20191	76	27	400	400	NUM
ajst-20191	76	28	m	m	NOUN
ajst-20191	76	29	,	,	PUNCT
ajst-20191	76	30	and	and	CCONJ
ajst-20191	76	31	the	the	DET
ajst-20191	76	32	matching	matching	ADJ
ajst-20191	76	33	effect	effect	NOUN
ajst-20191	76	34	is	be	AUX
ajst-20191	76	35	poor	poor	ADJ
ajst-20191	76	36	.	.	PUNCT
ajst-20191	77	1	in	in	ADP
ajst-20191	77	2	contrast	contrast	NOUN
ajst-20191	77	3	,	,	PUNCT
ajst-20191	77	4	the	the	DET
ajst-20191	77	5	matching	matching	ADJ
ajst-20191	77	6	effect	effect	NOUN
ajst-20191	77	7	of	of	ADP
ajst-20191	77	8	region	region	NOUN
ajst-20191	77	9	2	2	NUM
ajst-20191	77	10	and	and	CCONJ
ajst-20191	77	11	3	3	NUM
ajst-20191	77	12	is	be	AUX
ajst-20191	77	13	obviously	obviously	ADV
ajst-20191	77	14	better	well	ADJ
ajst-20191	77	15	.	.	PUNCT
ajst-20191	78	1	in	in	ADP
ajst-20191	78	2	contrast	contrast	NOUN
ajst-20191	78	3	,	,	PUNCT
ajst-20191	78	4	regions	region	NOUN
ajst-20191	78	5	2	2	NUM
ajst-20191	78	6	and	and	CCONJ
ajst-20191	78	7	3	3	NUM
ajst-20191	78	8	show	show	VERB
ajst-20191	78	9	significantly	significantly	ADV
ajst-20191	78	10	better	well	ADJ
ajst-20191	78	11	results	result	NOUN
ajst-20191	78	12	,	,	PUNCT
ajst-20191	78	13	with	with	ADP
ajst-20191	78	14	a	a	DET
ajst-20191	78	15	positioning	positioning	NOUN
ajst-20191	78	16	accuracy	accuracy	NOUN
ajst-20191	78	17	mean	mean	NOUN
ajst-20191	78	18	of	of	ADP
ajst-20191	78	19	97.40	97.40	NUM
ajst-20191	78	20	m	m	NOUN
ajst-20191	78	21	for	for	ADP
ajst-20191	78	22	regions	region	NOUN
ajst-20191	78	23	2	2	NUM
ajst-20191	78	24	and	and	CCONJ
ajst-20191	78	25	36.43	36.43	NUM
ajst-20191	78	26	m	m	NOUN
ajst-20191	78	27	for	for	ADP
ajst-20191	78	28	regions	region	NOUN
ajst-20191	78	29	3	3	NUM
ajst-20191	78	30	.	.	PUNCT
ajst-20191	79	1	the	the	DET
ajst-20191	79	2	positioning	positioning	NOUN
ajst-20191	79	3	accuracy	accuracy	NOUN
ajst-20191	79	4	means	mean	VERB
ajst-20191	79	5	for	for	ADP
ajst-20191	79	6	both	both	DET
ajst-20191	79	7	regions	region	NOUN
ajst-20191	79	8	are	be	AUX
ajst-20191	79	9	below	below	ADP
ajst-20191	79	10	100	100	NUM
ajst-20191	79	11	m	m	NOUN
ajst-20191	79	12	,	,	PUNCT
ajst-20191	79	13	and	and	CCONJ
ajst-20191	79	14	the	the	DET
ajst-20191	79	15	matching	matching	NOUN
ajst-20191	79	16	performance	performance	NOUN
ajst-20191	79	17	is	be	AUX
ajst-20191	79	18	relatively	relatively	ADV
ajst-20191	79	19	stable	stable	ADJ
ajst-20191	79	20	.	.	PUNCT
ajst-20191	80	1	table	table	NOUN
ajst-20191	80	2	2	2	NUM
ajst-20191	80	3	.	.	PUNCT
ajst-20191	81	1	statistics	statistic	NOUN
ajst-20191	81	2	of	of	ADP
ajst-20191	81	3	experimental	experimental	ADJ
ajst-20191	81	4	results	result	NOUN
ajst-20191	81	5	of	of	ADP
ajst-20191	81	6	area	area	NOUN
ajst-20191	81	7	1,2,3	1,2,3	NUM
ajst-20191	81	8	and	and	CCONJ
ajst-20191	81	9	4	4	NUM
ajst-20191	81	10	.	.	X
ajst-20191	81	11	area	area	NOUN
ajst-20191	81	12	1	1	NUM
ajst-20191	81	13	2	2	NUM
ajst-20191	81	14	3	3	NUM
ajst-20191	81	15	4	4	NUM
ajst-20191	81	16	average	average	ADJ
ajst-20191	81	17	positioning	positioning	NOUN
ajst-20191	81	18	error	error	NOUN
ajst-20191	81	19	/	/	SYM
ajst-20191	81	20	m	m	PROPN
ajst-20191	81	21	460.94	460.94	NUM
ajst-20191	81	22	97.40	97.40	NUM
ajst-20191	81	23	36.43	36.43	NUM
ajst-20191	81	24	348.77	348.77	NUM
ajst-20191	81	25	tercom	tercom	NOUN
ajst-20191	81	26	algorithm	algorithm	NOUN
ajst-20191	81	27	was	be	AUX
ajst-20191	81	28	used	use	VERB
ajst-20191	81	29	to	to	PART
ajst-20191	81	30	complete	complete	VERB
ajst-20191	81	31	100	100	NUM
ajst-20191	81	32	navigation	navigation	NOUN
ajst-20191	81	33	experiments	experiment	NOUN
ajst-20191	81	34	in	in	ADP
ajst-20191	81	35	484	484	NUM
ajst-20191	81	36	sample	sample	NOUN
ajst-20191	81	37	areas	area	NOUN
ajst-20191	81	38	.	.	PUNCT
ajst-20191	82	1	taking	take	VERB
ajst-20191	82	2	the	the	DET
ajst-20191	82	3	average	average	ADJ
ajst-20191	82	4	positioning	positioning	NOUN
ajst-20191	82	5	accuracy	accuracy	NOUN
ajst-20191	82	6	as	as	ADP
ajst-20191	82	7	the	the	DET
ajst-20191	82	8	standard	standard	NOUN
ajst-20191	82	9	,	,	PUNCT
ajst-20191	82	10	the	the	DET
ajst-20191	82	11	areas	area	NOUN
ajst-20191	82	12	with	with	ADP
ajst-20191	82	13	accuracy	accuracy	NOUN
ajst-20191	82	14	less	less	ADJ
ajst-20191	82	15	than	than	ADP
ajst-20191	82	16	or	or	CCONJ
ajst-20191	82	17	equal	equal	ADJ
ajst-20191	82	18	to	to	ADP
ajst-20191	82	19	2100	2100	NUM
ajst-20191	82	20	m	m	NOUN
ajst-20191	82	21	were	be	AUX
ajst-20191	82	22	calibrated	calibrate	VERB
ajst-20191	82	23	as	as	ADP
ajst-20191	82	24	a	a	DET
ajst-20191	82	25	suitable	suitable	ADJ
ajst-20191	82	26	area	area	NOUN
ajst-20191	82	27	,	,	PUNCT
ajst-20191	82	28	and	and	CCONJ
ajst-20191	82	29	the	the	DET
ajst-20191	82	30	others	other	NOUN
ajst-20191	82	31	were	be	AUX
ajst-20191	82	32	unsuitable	unsuitable	ADJ
ajst-20191	82	33	.	.	PUNCT
ajst-20191	83	1	due	due	ADP
ajst-20191	83	2	to	to	ADP
ajst-20191	83	3	the	the	DET
ajst-20191	83	4	close	close	ADJ
ajst-20191	83	5	correlation	correlation	NOUN
ajst-20191	83	6	between	between	ADP
ajst-20191	83	7	the	the	DET
ajst-20191	83	8	calibration	calibration	NOUN
ajst-20191	83	9	results	result	NOUN
ajst-20191	83	10	of	of	ADP
ajst-20191	83	11	the	the	DET
ajst-20191	83	12	sitable	sitable	ADJ
ajst-20191	83	13	areas	area	NOUN
ajst-20191	83	14	and	and	CCONJ
ajst-20191	83	15	the	the	DET
ajst-20191	83	16	selection	selection	NOUN
ajst-20191	83	17	of	of	ADP
ajst-20191	83	18	the	the	DET
ajst-20191	83	19	starting	starting	NOUN
ajst-20191	83	20	point	point	NOUN
ajst-20191	83	21	,	,	PUNCT
ajst-20191	83	22	in	in	ADP
ajst-20191	83	23	order	order	NOUN
ajst-20191	83	24	to	to	PART
ajst-20191	83	25	make	make	VERB
ajst-20191	83	26	the	the	DET
ajst-20191	83	27	calibration	calibration	NOUN
ajst-20191	83	28	results	result	VERB
ajst-20191	83	29	more	more	ADV
ajst-20191	83	30	accurate	accurate	ADJ
ajst-20191	83	31	,	,	PUNCT
ajst-20191	83	32	the	the	DET
ajst-20191	83	33	experiment	experiment	NOUN
ajst-20191	83	34	selected	select	VERB
ajst-20191	83	35	three	three	NUM
ajst-20191	83	36	starting	starting	NOUN
ajst-20191	83	37	points	point	NOUN
ajst-20191	83	38	for	for	ADP
ajst-20191	83	39	trajectory	trajectory	NOUN
ajst-20191	83	40	matching	matching	NOUN
ajst-20191	83	41	on	on	ADP
ajst-20191	83	42	four	four	NUM
ajst-20191	83	43	equal	equal	ADJ
ajst-20191	83	44	differences	difference	NOUN
ajst-20191	83	45	in	in	ADP
ajst-20191	83	46	each	each	DET
ajst-20191	83	47	direction	direction	NOUN
ajst-20191	83	48	.	.	PUNCT
ajst-20191	84	1	the	the	DET
ajst-20191	84	2	starting	starting	NOUN
ajst-20191	84	3	point	point	NOUN
ajst-20191	84	4	for	for	ADP
ajst-20191	84	5	east	east	NOUN
ajst-20191	84	6	-	-	PUNCT
ajst-20191	84	7	west	west	PROPN
ajst-20191	84	8	heading	heading	NOUN
ajst-20191	84	9	is	be	AUX
ajst-20191	84	10	(	(	PUNCT
ajst-20191	84	11	3500,3500	3500,3500	NUM
ajst-20191	84	12	)	)	PUNCT
ajst-20191	84	13	,	,	PUNCT
ajst-20191	84	14	(	(	PUNCT
ajst-20191	84	15	3500,7500	3500,7500	NOUN
ajst-20191	84	16	)	)	PUNCT
ajst-20191	84	17	,	,	PUNCT
ajst-20191	84	18	(	(	PUNCT
ajst-20191	84	19	3500,1150	3500,1150	NOUN
ajst-20191	84	20	)	)	PUNCT
ajst-20191	84	21	;	;	PUNCT
ajst-20191	84	22	the	the	DET
ajst-20191	84	23	starting	starting	NOUN
ajst-20191	84	24	point	point	NOUN
ajst-20191	84	25	for	for	ADP
ajst-20191	84	26	the	the	DET
ajst-20191	84	27	northeast	northeast	ADJ
ajst-20191	84	28	heading	heading	NOUN
ajst-20191	84	29	is	be	AUX
ajst-20191	84	30	(	(	PUNCT
ajst-20191	84	31	3000,3000	3000,3000	NUM
ajst-20191	84	32	)	)	PUNCT
ajst-20191	84	33	,	,	PUNCT
ajst-20191	84	34	(	(	PUNCT
ajst-20191	84	35	3000,4600	3000,4600	NUM
ajst-20191	84	36	)	)	PUNCT
ajst-20191	84	37	,	,	PUNCT
ajst-20191	84	38	(	(	PUNCT
ajst-20191	84	39	3000,6200	3000,6200	NUM
ajst-20191	84	40	)	)	PUNCT
ajst-20191	84	41	;	;	PUNCT
ajst-20191	84	42	the	the	DET
ajst-20191	84	43	starting	starting	NOUN
ajst-20191	84	44	point	point	NOUN
ajst-20191	84	45	for	for	ADP
ajst-20191	84	46	the	the	DET
ajst-20191	84	47	northsouth	northsouth	NOUN
ajst-20191	84	48	heading	heading	NOUN
ajst-20191	84	49	is	be	AUX
ajst-20191	84	50	(	(	PUNCT
ajst-20191	84	51	3500,3500	3500,3500	NUM
ajst-20191	84	52	)	)	PUNCT
ajst-20191	84	53	,	,	PUNCT
ajst-20191	84	54	(	(	PUNCT
ajst-20191	84	55	7500,3500	7500,3500	NOUN
ajst-20191	84	56	)	)	PUNCT
ajst-20191	84	57	,	,	PUNCT
ajst-20191	84	58	(	(	PUNCT
ajst-20191	84	59	11500,3500	11500,3500	NUM
ajst-20191	84	60	)	)	PUNCT
ajst-20191	84	61	;	;	PUNCT
ajst-20191	84	62	the	the	DET
ajst-20191	84	63	starting	starting	NOUN
ajst-20191	84	64	point	point	NOUN
ajst-20191	84	65	for	for	ADP
ajst-20191	84	66	the	the	DET
ajst-20191	84	67	northwest	northwest	ADJ
ajst-20191	84	68	heading	heading	NOUN
ajst-20191	84	69	is	be	AUX
ajst-20191	84	70	(	(	PUNCT
ajst-20191	84	71	9000,3000	9000,3000	NUM
ajst-20191	84	72	)	)	PUNCT
ajst-20191	84	73	,	,	PUNCT
ajst-20191	84	74	(	(	PUNCT
ajst-20191	84	75	9000,4600	9000,4600	NUM
ajst-20191	84	76	)	)	PUNCT
ajst-20191	84	77	,	,	PUNCT
ajst-20191	84	78	(	(	PUNCT
ajst-20191	84	79	9000,6200	9000,6200	NUM
ajst-20191	84	80	)	)	PUNCT
ajst-20191	84	81	.	.	PUNCT
ajst-20191	85	1	in	in	ADP
ajst-20191	85	2	the	the	DET
ajst-20191	85	3	experiment	experiment	NOUN
ajst-20191	85	4	,	,	PUNCT
ajst-20191	85	5	all	all	DET
ajst-20191	85	6	the	the	DET
ajst-20191	85	7	suitable	suitable	ADJ
ajst-20191	85	8	areas	area	NOUN
ajst-20191	85	9	for	for	ADP
ajst-20191	85	10	trajectory	trajectory	NOUN
ajst-20191	85	11	matching	matching	NOUN
ajst-20191	85	12	calibration	calibration	NOUN
ajst-20191	85	13	from	from	ADP
ajst-20191	85	14	three	three	NUM
ajst-20191	85	15	starting	starting	NOUN
ajst-20191	85	16	points	point	NOUN
ajst-20191	85	17	are	be	AUX
ajst-20191	85	18	considered	consider	VERB
ajst-20191	85	19	to	to	PART
ajst-20191	85	20	be	be	AUX
ajst-20191	85	21	suitable	suitable	ADJ
ajst-20191	85	22	.	.	PUNCT
ajst-20191	86	1	each	each	DET
ajst-20191	86	2	rectangular	rectangular	ADJ
ajst-20191	86	3	border	border	NOUN
ajst-20191	86	4	in	in	ADP
ajst-20191	86	5	the	the	DET
ajst-20191	86	6	figure	figure	NOUN
ajst-20191	86	7	4	4	NUM
ajst-20191	86	8	shows	show	VERB
ajst-20191	86	9	a	a	DET
ajst-20191	86	10	suitable	suitable	ADJ
ajst-20191	86	11	area	area	NOUN
ajst-20191	86	12	,	,	PUNCT
ajst-20191	86	13	and	and	CCONJ
ajst-20191	86	14	the	the	DET
ajst-20191	86	15	remaining	remain	VERB
ajst-20191	86	16	area	area	NOUN
ajst-20191	86	17	are	be	AUX
ajst-20191	86	18	unsuitable	unsuitable	ADJ
ajst-20191	86	19	areas	area	NOUN
ajst-20191	86	20	.	.	PUNCT
ajst-20191	87	1	85	85	NUM
ajst-20191	87	2	(	(	PUNCT
ajst-20191	87	3	a	a	NOUN
ajst-20191	87	4	)	)	PUNCT
ajst-20191	87	5	(	(	PUNCT
ajst-20191	87	6	b	b	X
ajst-20191	87	7	)	)	PUNCT
ajst-20191	87	8	(	(	PUNCT
ajst-20191	87	9	c	c	X
ajst-20191	87	10	)	)	PUNCT
ajst-20191	87	11	(	(	PUNCT
ajst-20191	87	12	d	d	X
ajst-20191	87	13	)	)	PUNCT
ajst-20191	87	14	figure	figure	NOUN
ajst-20191	87	15	4	4	NUM
ajst-20191	87	16	.	.	PUNCT
ajst-20191	88	1	distribution	distribution	NOUN
ajst-20191	88	2	of	of	ADP
ajst-20191	88	3	suitable	suitable	ADJ
ajst-20191	88	4	areas	area	NOUN
ajst-20191	88	5	in	in	ADP
ajst-20191	88	6	application	application	NOUN
ajst-20191	88	7	area	area	NOUN
ajst-20191	88	8	suitable	suitable	ADJ
ajst-20191	88	9	areas	area	NOUN
ajst-20191	88	10	for	for	ADP
ajst-20191	88	11	east	east	PROPN
ajst-20191	88	12	-	-	PUNCT
ajst-20191	88	13	west	west	PROPN
ajst-20191	88	14	direction	direction	NOUN
ajst-20191	88	15	;	;	PUNCT
ajst-20191	88	16	(	(	PUNCT
ajst-20191	88	17	b	b	X
ajst-20191	88	18	)	)	PUNCT
ajst-20191	88	19	suitable	suitable	ADJ
ajst-20191	88	20	areas	area	NOUN
ajst-20191	88	21	for	for	ADP
ajst-20191	88	22	northeast	northeast	ADJ
ajst-20191	88	23	direction	direction	NOUN
ajst-20191	88	24	;	;	PUNCT
ajst-20191	88	25	(	(	PUNCT
ajst-20191	88	26	c	c	X
ajst-20191	88	27	)	)	PUNCT
ajst-20191	88	28	suitable	suitable	ADJ
ajst-20191	88	29	areas	area	NOUN
ajst-20191	88	30	for	for	ADP
ajst-20191	88	31	north	north	NOUN
ajst-20191	88	32	-	-	PUNCT
ajst-20191	88	33	south	south	NOUN
ajst-20191	88	34	direction	direction	NOUN
ajst-20191	88	35	;	;	PUNCT
ajst-20191	88	36	(	(	PUNCT
ajst-20191	88	37	d	d	X
ajst-20191	88	38	)	)	PUNCT
ajst-20191	88	39	suitable	suitable	ADJ
ajst-20191	88	40	areas	area	NOUN
ajst-20191	88	41	for	for	ADP
ajst-20191	88	42	northwest	northwest	ADJ
ajst-20191	88	43	direction	direction	NOUN
ajst-20191	88	44	.	.	PUNCT
ajst-20191	89	1	the	the	DET
ajst-20191	89	2	matching	matching	ADJ
ajst-20191	89	3	effect	effect	NOUN
ajst-20191	89	4	of	of	ADP
ajst-20191	89	5	gravity	gravity	NOUN
ajst-20191	89	6	-	-	PUNCT
ajst-20191	89	7	assisted	assist	VERB
ajst-20191	89	8	inertial	inertial	ADJ
ajst-20191	89	9	navigation	navigation	NOUN
ajst-20191	89	10	is	be	AUX
ajst-20191	89	11	closely	closely	ADV
ajst-20191	89	12	related	relate	VERB
ajst-20191	89	13	to	to	ADP
ajst-20191	89	14	the	the	DET
ajst-20191	89	15	distribution	distribution	NOUN
ajst-20191	89	16	of	of	ADP
ajst-20191	89	17	gravity	gravity	NOUN
ajst-20191	89	18	field	field	NOUN
ajst-20191	89	19	in	in	ADP
ajst-20191	89	20	the	the	DET
ajst-20191	89	21	navigation	navigation	NOUN
ajst-20191	89	22	area	area	NOUN
ajst-20191	89	23	.	.	PUNCT
ajst-20191	90	1	when	when	SCONJ
ajst-20191	90	2	the	the	DET
ajst-20191	90	3	navigation	navigation	NOUN
ajst-20191	90	4	trajectory	trajectory	NOUN
ajst-20191	90	5	passes	pass	VERB
ajst-20191	90	6	through	through	ADP
ajst-20191	90	7	the	the	DET
ajst-20191	90	8	area	area	NOUN
ajst-20191	90	9	where	where	SCONJ
ajst-20191	90	10	the	the	DET
ajst-20191	90	11	gravity	gravity	NOUN
ajst-20191	90	12	field	field	NOUN
ajst-20191	90	13	changes	change	VERB
ajst-20191	90	14	more	more	ADV
ajst-20191	90	15	violently	violently	ADV
ajst-20191	90	16	,	,	PUNCT
ajst-20191	90	17	the	the	DET
ajst-20191	90	18	gravity	gravity	NOUN
ajst-20191	90	19	sequence	sequence	NOUN
ajst-20191	90	20	of	of	ADP
ajst-20191	90	21	the	the	DET
ajst-20191	90	22	real	real	ADJ
ajst-20191	90	23	-	-	PUNCT
ajst-20191	90	24	time	time	NOUN
ajst-20191	90	25	acquisition	acquisition	NOUN
ajst-20191	90	26	of	of	ADP
ajst-20191	90	27	gravity	gravity	NOUN
ajst-20191	90	28	will	will	AUX
ajst-20191	90	29	produce	produce	VERB
ajst-20191	90	30	more	more	ADJ
ajst-20191	90	31	obvious	obvious	ADJ
ajst-20191	90	32	fluctuations	fluctuation	NOUN
ajst-20191	90	33	,	,	PUNCT
ajst-20191	90	34	and	and	CCONJ
ajst-20191	90	35	it	it	PRON
ajst-20191	90	36	is	be	AUX
ajst-20191	90	37	easy	easy	ADJ
ajst-20191	90	38	to	to	PART
ajst-20191	90	39	find	find	VERB
ajst-20191	90	40	the	the	DET
ajst-20191	90	41	corresponding	corresponding	ADJ
ajst-20191	90	42	trajectory	trajectory	NOUN
ajst-20191	90	43	in	in	ADP
ajst-20191	90	44	the	the	DET
ajst-20191	90	45	gravity	gravity	NOUN
ajst-20191	90	46	map	map	NOUN
ajst-20191	90	47	.	.	PUNCT
ajst-20191	91	1	that	that	PRON
ajst-20191	91	2	is	is	ADV
ajst-20191	91	3	,	,	PUNCT
ajst-20191	91	4	the	the	DET
ajst-20191	91	5	area	area	NOUN
ajst-20191	91	6	with	with	ADP
ajst-20191	91	7	severe	severe	ADJ
ajst-20191	91	8	abnormal	abnormal	ADJ
ajst-20191	91	9	changes	change	NOUN
ajst-20191	91	10	in	in	ADP
ajst-20191	91	11	gravity	gravity	NOUN
ajst-20191	91	12	is	be	AUX
ajst-20191	91	13	usually	usually	ADV
ajst-20191	91	14	the	the	DET
ajst-20191	91	15	adaptation	adaptation	NOUN
ajst-20191	91	16	zone	zone	NOUN
ajst-20191	91	17	.	.	PUNCT
ajst-20191	92	1	for	for	ADP
ajst-20191	92	2	trajectory	trajectory	NOUN
ajst-20191	92	3	matching	matching	NOUN
ajst-20191	92	4	using	use	VERB
ajst-20191	92	5	the	the	DET
ajst-20191	92	6	tercom	tercom	PROPN
ajst-20191	92	7	algorithm	algorithm	NOUN
ajst-20191	92	8	,	,	PUNCT
ajst-20191	92	9	the	the	DET
ajst-20191	92	10	use	use	NOUN
ajst-20191	92	11	of	of	ADP
ajst-20191	92	12	the	the	DET
ajst-20191	92	13	triple	triple	ADJ
ajst-20191	92	14	starting	starting	NOUN
ajst-20191	92	15	point	point	NOUN
ajst-20191	92	16	allows	allow	VERB
ajst-20191	92	17	for	for	ADP
ajst-20191	92	18	a	a	DET
ajst-20191	92	19	more	more	ADV
ajst-20191	92	20	comprehensive	comprehensive	ADJ
ajst-20191	92	21	assessment	assessment	NOUN
ajst-20191	92	22	of	of	ADP
ajst-20191	92	23	the	the	DET
ajst-20191	92	24	fit	fit	NOUN
ajst-20191	92	25	of	of	ADP
ajst-20191	92	26	the	the	DET
ajst-20191	92	27	matching	matching	NOUN
ajst-20191	92	28	regions	region	NOUN
ajst-20191	92	29	.	.	PUNCT
ajst-20191	93	1	as	as	SCONJ
ajst-20191	93	2	can	can	AUX
ajst-20191	93	3	be	be	AUX
ajst-20191	93	4	seen	see	VERB
ajst-20191	93	5	from	from	ADP
ajst-20191	93	6	figure	figure	NOUN
ajst-20191	93	7	4	4	NUM
ajst-20191	93	8	,	,	PUNCT
ajst-20191	93	9	the	the	DET
ajst-20191	93	10	adaptation	adaptation	NOUN
ajst-20191	93	11	zones	zone	NOUN
ajst-20191	93	12	divided	divide	VERB
ajst-20191	93	13	by	by	ADP
ajst-20191	93	14	using	use	VERB
ajst-20191	93	15	the	the	DET
ajst-20191	93	16	three	three	NUM
ajst-20191	93	17	-	-	PUNCT
ajst-20191	93	18	starting	start	VERB
ajst-20191	93	19	point	point	NOUN
ajst-20191	93	20	method	method	NOUN
ajst-20191	93	21	are	be	AUX
ajst-20191	93	22	basically	basically	ADV
ajst-20191	93	23	in	in	ADP
ajst-20191	93	24	the	the	DET
ajst-20191	93	25	area	area	NOUN
ajst-20191	93	26	where	where	SCONJ
ajst-20191	93	27	the	the	DET
ajst-20191	93	28	gravitational	gravitational	ADJ
ajst-20191	93	29	field	field	NOUN
ajst-20191	93	30	changes	change	VERB
ajst-20191	93	31	more	more	ADV
ajst-20191	93	32	dramatically	dramatically	ADV
ajst-20191	93	33	.	.	PUNCT
ajst-20191	94	1	the	the	DET
ajst-20191	94	2	experiment	experiment	NOUN
ajst-20191	94	3	proves	prove	VERB
ajst-20191	94	4	that	that	SCONJ
ajst-20191	94	5	the	the	DET
ajst-20191	94	6	method	method	NOUN
ajst-20191	94	7	proposed	propose	VERB
ajst-20191	94	8	in	in	ADP
ajst-20191	94	9	this	this	DET
ajst-20191	94	10	paper	paper	NOUN
ajst-20191	94	11	can	can	AUX
ajst-20191	94	12	divide	divide	VERB
ajst-20191	94	13	the	the	DET
ajst-20191	94	14	adaptation	adaptation	NOUN
ajst-20191	94	15	region	region	NOUN
ajst-20191	94	16	of	of	ADP
ajst-20191	94	17	the	the	DET
ajst-20191	94	18	study	study	NOUN
ajst-20191	94	19	area	area	NOUN
ajst-20191	94	20	more	more	ADV
ajst-20191	94	21	comprehensively	comprehensively	ADV
ajst-20191	94	22	.	.	PUNCT
ajst-20191	95	1	4	4	X
ajst-20191	95	2	.	.	X
ajst-20191	95	3	conclusions	conclusion	NOUN
ajst-20191	95	4	because	because	SCONJ
ajst-20191	95	5	the	the	DET
ajst-20191	95	6	result	result	NOUN
ajst-20191	95	7	of	of	ADP
ajst-20191	95	8	partitioning	partition	VERB
ajst-20191	95	9	the	the	DET
ajst-20191	95	10	adaptation	adaptation	NOUN
ajst-20191	95	11	region	region	NOUN
ajst-20191	95	12	is	be	AUX
ajst-20191	95	13	closely	closely	ADV
ajst-20191	95	14	related	relate	VERB
ajst-20191	95	15	to	to	ADP
ajst-20191	95	16	the	the	DET
ajst-20191	95	17	selection	selection	NOUN
ajst-20191	95	18	of	of	ADP
ajst-20191	95	19	the	the	DET
ajst-20191	95	20	starting	starting	NOUN
ajst-20191	95	21	point	point	NOUN
ajst-20191	95	22	,	,	PUNCT
ajst-20191	95	23	the	the	DET
ajst-20191	95	24	study	study	NOUN
ajst-20191	95	25	matches	match	VERB
ajst-20191	95	26	the	the	DET
ajst-20191	95	27	three	three	NUM
ajst-20191	95	28	start	start	NOUN
ajst-20191	95	29	points	point	NOUN
ajst-20191	95	30	in	in	ADP
ajst-20191	95	31	four	four	NUM
ajst-20191	95	32	heading	head	VERB
ajst-20191	95	33	directions	direction	NOUN
ajst-20191	95	34	.	.	PUNCT
ajst-20191	96	1	since	since	SCONJ
ajst-20191	96	2	the	the	DET
ajst-20191	96	3	area	area	NOUN
ajst-20191	96	4	with	with	ADP
ajst-20191	96	5	violent	violent	ADJ
ajst-20191	96	6	abnormal	abnormal	ADJ
ajst-20191	96	7	change	change	NOUN
ajst-20191	96	8	of	of	ADP
ajst-20191	96	9	gravity	gravity	NOUN
ajst-20191	96	10	in	in	ADP
ajst-20191	96	11	the	the	DET
ajst-20191	96	12	weight	weight	NOUN
ajst-20191	96	13	map	map	NOUN
ajst-20191	96	14	is	be	AUX
ajst-20191	96	15	usually	usually	ADV
ajst-20191	96	16	the	the	DET
ajst-20191	96	17	adaptation	adaptation	NOUN
ajst-20191	96	18	zone	zone	NOUN
ajst-20191	96	19	,	,	PUNCT
ajst-20191	96	20	it	it	PRON
ajst-20191	96	21	can	can	AUX
ajst-20191	96	22	be	be	AUX
ajst-20191	96	23	seen	see	VERB
ajst-20191	96	24	from	from	ADP
ajst-20191	96	25	the	the	DET
ajst-20191	96	26	division	division	NOUN
ajst-20191	96	27	results	result	NOUN
ajst-20191	96	28	of	of	ADP
ajst-20191	96	29	the	the	DET
ajst-20191	96	30	adaptation	adaptation	NOUN
ajst-20191	96	31	zone	zone	NOUN
ajst-20191	96	32	that	that	SCONJ
ajst-20191	96	33	the	the	DET
ajst-20191	96	34	adaptation	adaptation	NOUN
ajst-20191	96	35	zones	zone	NOUN
ajst-20191	96	36	divided	divide	VERB
ajst-20191	96	37	by	by	ADP
ajst-20191	96	38	this	this	DET
ajst-20191	96	39	method	method	NOUN
ajst-20191	96	40	are	be	AUX
ajst-20191	96	41	basically	basically	ADV
ajst-20191	96	42	in	in	ADP
ajst-20191	96	43	the	the	DET
ajst-20191	96	44	area	area	NOUN
ajst-20191	96	45	of	of	ADP
ajst-20191	96	46	violent	violent	ADJ
ajst-20191	96	47	gravity	gravity	NOUN
ajst-20191	96	48	field	field	NOUN
ajst-20191	96	49	change	change	NOUN
ajst-20191	96	50	,	,	PUNCT
ajst-20191	96	51	which	which	PRON
ajst-20191	96	52	has	have	VERB
ajst-20191	96	53	certain	certain	ADJ
ajst-20191	96	54	engineering	engineering	NOUN
ajst-20191	96	55	application	application	NOUN
ajst-20191	96	56	value	value	NOUN
ajst-20191	96	57	.	.	PUNCT
ajst-20191	97	1	references	reference	NOUN
ajst-20191	97	2	[	[	X
ajst-20191	97	3	1	1	NUM
ajst-20191	97	4	]	]	X
ajst-20191	97	5	alamgir	alamgir	PROPN
ajst-20191	97	6	,	,	PUNCT
ajst-20191	97	7	m.s.m	m.s.m	PROPN
ajst-20191	97	8	.	.	PROPN
ajst-20191	97	9	;	;	PUNCT
ajst-20191	97	10	sultana	sultana	NOUN
ajst-20191	97	11	,	,	PUNCT
ajst-20191	97	12	m.n	m.n	PROPN
ajst-20191	97	13	.	.	PROPN
ajst-20191	97	14	;	;	PUNCT
ajst-20191	97	15	chang	chang	PROPN
ajst-20191	97	16	,	,	PUNCT
ajst-20191	97	17	y.	y.	PROPN
ajst-20191	97	18	link	link	VERB
ajst-20191	97	19	adaptation	adaptation	NOUN
ajst-20191	97	20	on	on	ADP
ajst-20191	97	21	an	an	DET
ajst-20191	97	22	underwater	underwater	ADJ
ajst-20191	97	23	communications	communication	NOUN
ajst-20191	97	24	network	network	NOUN
ajst-20191	97	25	using	use	VERB
ajst-20191	97	26	machine	machine	NOUN
ajst-20191	97	27	learning	learn	VERB
ajst-20191	97	28	algorithms	algorithm	NOUN
ajst-20191	97	29	:	:	PUNCT
ajst-20191	97	30	boosted	boost	VERB
ajst-20191	97	31	regression	regression	NOUN
ajst-20191	97	32	tree	tree	NOUN
ajst-20191	97	33	approach	approach	NOUN
ajst-20191	97	34	.	.	PUNCT
ajst-20191	98	1	ieee	ieee	NOUN
ajst-20191	98	2	access	access	NOUN
ajst-20191	98	3	2020	2020	NUM
ajst-20191	98	4	,	,	PUNCT
ajst-20191	98	5	8	8	NUM
ajst-20191	98	6	,	,	PUNCT
ajst-20191	98	7	73957	73957	NUM
ajst-20191	98	8	-	-	SYM
ajst-20191	98	9	73971	73971	NUM
ajst-20191	98	10	,	,	PUNCT
ajst-20191	98	11	doi:10.1109	doi:10.1109	VERB
ajst-20191	98	12	/	/	SYM
ajst-20191	98	13	access.2020.2981973	access.2020.2981973	NOUN
ajst-20191	98	14	.	.	PUNCT
ajst-20191	99	1	[	[	X
ajst-20191	99	2	2	2	NUM
ajst-20191	99	3	]	]	X
ajst-20191	99	4	wang	wang	PROPN
ajst-20191	99	5	,	,	PUNCT
ajst-20191	99	6	b.	b.	PROPN
ajst-20191	99	7	;	;	PUNCT
ajst-20191	99	8	zhou	zhou	PROPN
ajst-20191	99	9	,	,	PUNCT
ajst-20191	99	10	m.l	m.l	PROPN
ajst-20191	99	11	.	.	PROPN
ajst-20191	99	12	perspective	perspective	NOUN
ajst-20191	99	13	on	on	ADP
ajst-20191	99	14	matching	match	VERB
ajst-20191	99	15	area	area	NOUN
ajst-20191	99	16	selection	selection	NOUN
ajst-20191	99	17	technology	technology	NOUN
ajst-20191	99	18	for	for	ADP
ajst-20191	99	19	underwater	underwater	ADJ
ajst-20191	99	20	gravity	gravity	NOUN
ajst-20191	99	21	aided	aid	VERB
ajst-20191	99	22	navigation	navigation	NOUN
ajst-20191	99	23	.	.	PUNCT
ajst-20191	100	1	journal	journal	PROPN
ajst-20191	100	2	of	of	ADP
ajst-20191	100	3	navigation	navigation	NOUN
ajst-20191	100	4	and	and	CCONJ
ajst-20191	100	5	positioning	positioning	NOUN
ajst-20191	100	6	2020	2020	NUM
ajst-20191	100	7	,	,	PUNCT
ajst-20191	100	8	8	8	NUM
ajst-20191	100	9	,	,	PUNCT
ajst-20191	100	10	32	32	NUM
ajst-20191	100	11	-	-	SYM
ajst-20191	100	12	39	39	NUM
ajst-20191	100	13	,	,	PUNCT
ajst-20191	100	14	doi:10.16547	doi:10.16547	NOUN
ajst-20191	100	15	/	/	SYM
ajst-20191	100	16	j.cnki.10	j.cnki.10	NOUN
ajst-20191	100	17	-	-	PUNCT
ajst-20191	100	18	1096.20200305	1096.20200305	NOUN
ajst-20191	100	19	.	.	PUNCT
ajst-20191	101	1	[	[	X
ajst-20191	101	2	3	3	X
ajst-20191	101	3	]	]	X
ajst-20191	101	4	chang	chang	PROPN
ajst-20191	101	5	,	,	PUNCT
ajst-20191	101	6	l.b	l.b	PROPN
ajst-20191	101	7	.	.	PROPN
ajst-20191	101	8	;	;	PUNCT
ajst-20191	101	9	li	li	PROPN
ajst-20191	101	10	,	,	PUNCT
ajst-20191	101	11	j.s	j.s	PROPN
ajst-20191	101	12	.	.	PROPN
ajst-20191	101	13	;	;	PUNCT
ajst-20191	101	14	chen	chen	PROPN
ajst-20191	101	15	,	,	PUNCT
ajst-20191	101	16	s.y	s.y	PROPN
ajst-20191	101	17	.	.	PROPN
ajst-20191	101	18	initial	initial	ADJ
ajst-20191	101	19	alignment	alignment	NOUN
ajst-20191	101	20	by	by	ADP
ajst-20191	101	21	attitude	attitude	NOUN
ajst-20191	101	22	estimation	estimation	NOUN
ajst-20191	101	23	for	for	ADP
ajst-20191	101	24	strapdown	strapdown	ADJ
ajst-20191	101	25	inertial	inertial	ADJ
ajst-20191	101	26	navigation	navigation	NOUN
ajst-20191	101	27	systems	system	NOUN
ajst-20191	101	28	.	.	PUNCT
ajst-20191	102	1	ieee	ieee	PROPN
ajst-20191	102	2	trans	trans	PROPN
ajst-20191	102	3	.	.	PUNCT
ajst-20191	103	1	instrum	instrum	PROPN
ajst-20191	103	2	.	.	PUNCT
ajst-20191	104	1	meas	meas	PROPN
ajst-20191	104	2	.	.	PUNCT
ajst-20191	105	1	2015	2015	NUM
ajst-20191	105	2	,	,	PUNCT
ajst-20191	105	3	64	64	NUM
ajst-20191	105	4	,	,	PUNCT
ajst-20191	105	5	784	784	NUM
ajst-20191	105	6	-	-	SYM
ajst-20191	105	7	794	794	NUM
ajst-20191	105	8	,	,	PUNCT
ajst-20191	105	9	doi:10.1109	doi:10.1109	VERB
ajst-20191	105	10	/	/	SYM
ajst-20191	105	11	tim.2014.2355652	tim.2014.2355652	NUM
ajst-20191	105	12	.	.	PUNCT
ajst-20191	106	1	[	[	X
ajst-20191	106	2	4	4	NUM
ajst-20191	106	3	]	]	X
ajst-20191	106	4	wang	wang	PROPN
ajst-20191	106	5	,	,	PUNCT
ajst-20191	106	6	b.	b.	PROPN
ajst-20191	106	7	;	;	PUNCT
ajst-20191	106	8	ren	ren	PROPN
ajst-20191	106	9	,	,	PUNCT
ajst-20191	106	10	q.	q.	PROPN
ajst-20191	106	11	;	;	PUNCT
ajst-20191	106	12	deng	deng	PROPN
ajst-20191	106	13	,	,	PUNCT
ajst-20191	106	14	z.h	z.h	PROPN
ajst-20191	106	15	.	.	PROPN
ajst-20191	106	16	;	;	PUNCT
ajst-20191	106	17	fu	fu	PROPN
ajst-20191	106	18	,	,	PUNCT
ajst-20191	106	19	m.y	m.y	PROPN
ajst-20191	106	20	.	.	PROPN
ajst-20191	106	21	a	a	DET
ajst-20191	106	22	self	self	NOUN
ajst-20191	106	23	-	-	PUNCT
ajst-20191	106	24	calibration	calibration	NOUN
ajst-20191	106	25	method	method	NOUN
ajst-20191	106	26	for	for	ADP
ajst-20191	106	27	nonorthogonal	nonorthogonal	ADJ
ajst-20191	106	28	angles	angle	NOUN
ajst-20191	106	29	between	between	ADP
ajst-20191	106	30	gimbals	gimbal	NOUN
ajst-20191	106	31	of	of	ADP
ajst-20191	106	32	rotational	rotational	ADJ
ajst-20191	106	33	inertial	inertial	ADJ
ajst-20191	106	34	navigation	navigation	NOUN
ajst-20191	106	35	system	system	NOUN
ajst-20191	106	36	.	.	PUNCT
ajst-20191	107	1	ieee	ieee	PROPN
ajst-20191	107	2	trans	trans	PROPN
ajst-20191	107	3	.	.	PUNCT
ajst-20191	108	1	ind	ind	PROPN
ajst-20191	108	2	.	.	PUNCT
ajst-20191	108	3	electron	electron	PROPN
ajst-20191	108	4	.	.	PUNCT
ajst-20191	109	1	2015	2015	NUM
ajst-20191	109	2	,	,	PUNCT
ajst-20191	109	3	62	62	NUM
ajst-20191	109	4	,	,	PUNCT
ajst-20191	109	5	2353	2353	NUM
ajst-20191	109	6	-	-	SYM
ajst-20191	109	7	2362	2362	NUM
ajst-20191	109	8	,	,	PUNCT
ajst-20191	109	9	doi:10.1109	doi:10.1109	VERB
ajst-20191	109	10	/	/	SYM
ajst-20191	109	11	tie.2014.2361671	tie.2014.2361671	NOUN
ajst-20191	109	12	.	.	PUNCT
ajst-20191	110	1	[	[	X
ajst-20191	110	2	5	5	NUM
ajst-20191	110	3	]	]	X
ajst-20191	110	4	wang	wang	PROPN
ajst-20191	110	5	,	,	PUNCT
ajst-20191	110	6	b.	b.	PROPN
ajst-20191	110	7	;	;	PUNCT
ajst-20191	110	8	zhu	zhu	PROPN
ajst-20191	110	9	,	,	PUNCT
ajst-20191	110	10	j.w	j.w	PROPN
ajst-20191	110	11	.	.	PROPN
ajst-20191	110	12	;	;	PUNCT
ajst-20191	110	13	ma	ma	PROPN
ajst-20191	110	14	,	,	PUNCT
ajst-20191	110	15	z.x	z.x	PROPN
ajst-20191	110	16	.	.	PROPN
ajst-20191	110	17	;	;	PUNCT
ajst-20191	110	18	deng	deng	PROPN
ajst-20191	110	19	,	,	PUNCT
ajst-20191	110	20	z.h	z.h	PROPN
ajst-20191	110	21	.	.	PROPN
ajst-20191	110	22	;	;	PUNCT
ajst-20191	110	23	fu	fu	PROPN
ajst-20191	110	24	,	,	PUNCT
ajst-20191	110	25	m.y	m.y	PROPN
ajst-20191	110	26	.	.	PROPN
ajst-20191	110	27	improved	improve	VERB
ajst-20191	110	28	particle	particle	NOUN
ajst-20191	110	29	filter	filter	NOUN
ajst-20191	110	30	-	-	PUNCT
ajst-20191	110	31	based	base	VERB
ajst-20191	110	32	matching	matching	NOUN
ajst-20191	110	33	method	method	NOUN
ajst-20191	110	34	with	with	ADP
ajst-20191	110	35	gravity	gravity	NOUN
ajst-20191	110	36	sample	sample	NOUN
ajst-20191	110	37	vector	vector	NOUN
ajst-20191	110	38	for	for	ADP
ajst-20191	110	39	underwater	underwater	ADJ
ajst-20191	110	40	gravity	gravity	NOUN
ajst-20191	110	41	-	-	PUNCT
ajst-20191	110	42	aided	aid	VERB
ajst-20191	110	43	navigation	navigation	NOUN
ajst-20191	110	44	.	.	PUNCT
ajst-20191	111	1	ieee	ieee	PROPN
ajst-20191	111	2	trans	trans	PROPN
ajst-20191	111	3	.	.	PUNCT
ajst-20191	112	1	ind	ind	PROPN
ajst-20191	112	2	.	.	PUNCT
ajst-20191	112	3	electron	electron	PROPN
ajst-20191	112	4	.	.	PUNCT
ajst-20191	113	1	2021	2021	NUM
ajst-20191	113	2	,	,	PUNCT
ajst-20191	113	3	68	68	NUM
ajst-20191	113	4	,	,	PUNCT
ajst-20191	113	5	5206	5206	NUM
ajst-20191	113	6	-	-	SYM
ajst-20191	113	7	5216	5216	NUM
ajst-20191	113	8	,	,	PUNCT
ajst-20191	113	9	doi:10.1109	doi:10.1109	VERB
ajst-20191	113	10	/	/	SYM
ajst-20191	113	11	tie.2020.2988227	tie.2020.2988227	PROPN
ajst-20191	113	12	.	.	PUNCT
ajst-20191	114	1	[	[	X
ajst-20191	114	2	6	6	NUM
ajst-20191	114	3	]	]	SYM
ajst-20191	114	4	li	li	PROPN
ajst-20191	114	5	,	,	PUNCT
ajst-20191	114	6	z.w	z.w	PROPN
ajst-20191	114	7	.	.	PUNCT
ajst-20191	114	8	;	;	PUNCT
ajst-20191	114	9	zheng	zheng	PROPN
ajst-20191	114	10	,	,	PUNCT
ajst-20191	114	11	w.	w.	PROPN
ajst-20191	114	12	;	;	PUNCT
ajst-20191	114	13	wu	wu	PROPN
ajst-20191	114	14	,	,	PUNCT
ajst-20191	114	15	f.	f.	PROPN
ajst-20191	114	16	improving	improve	VERB
ajst-20191	114	17	the	the	DET
ajst-20191	114	18	reliability	reliability	NOUN
ajst-20191	114	19	of	of	ADP
ajst-20191	114	20	underwater	underwater	ADJ
ajst-20191	114	21	gravity	gravity	NOUN
ajst-20191	114	22	matching	matching	NOUN
ajst-20191	114	23	navigation	navigation	NOUN
ajst-20191	114	24	based	base	VERB
ajst-20191	114	25	on	on	ADP
ajst-20191	114	26	a	a	DET
ajst-20191	114	27	priori	priori	ADJ
ajst-20191	114	28	recursive	recursive	ADJ
ajst-20191	114	29	iterative	iterative	NOUN
ajst-20191	114	30	least	least	ADJ
ajst-20191	114	31	squares	square	NOUN
ajst-20191	114	32	mismatching	mismatching	ADJ
ajst-20191	114	33	correction	correction	NOUN
ajst-20191	114	34	method	method	NOUN
ajst-20191	114	35	.	.	PUNCT
ajst-20191	115	1	ieee	ieee	NOUN
ajst-20191	115	2	access	access	NOUN
ajst-20191	115	3	2020	2020	NUM
ajst-20191	115	4	,	,	PUNCT
ajst-20191	115	5	8	8	NUM
ajst-20191	115	6	,	,	PUNCT
ajst-20191	115	7	8648	8648	NUM
ajst-20191	115	8	-	-	SYM
ajst-20191	115	9	8657	8657	NUM
ajst-20191	115	10	,	,	PUNCT
ajst-20191	115	11	doi:10.1109	doi:10.1109	VERB
ajst-20191	115	12	/	/	SYM
ajst-20191	115	13	access.2020.2964014	access.2020.2964014	PROPN
ajst-20191	115	14	.	.	PUNCT
ajst-20191	116	1	86	86	NUM
ajst-20191	117	1	[	[	X
ajst-20191	117	2	7	7	NUM
ajst-20191	117	3	]	]	SYM
ajst-20191	117	4	ouyang	ouyang	PROPN
ajst-20191	117	5	,	,	PUNCT
ajst-20191	117	6	m.d	m.d	PROPN
ajst-20191	117	7	.	.	PROPN
ajst-20191	117	8	compared	compare	VERB
ajst-20191	117	9	between	between	ADP
ajst-20191	117	10	teｒcom	teｒcom	NOUN
ajst-20191	117	11	algorithm	algorithm	NOUN
ajst-20191	117	12	and	and	CCONJ
ajst-20191	117	13	iccp	iccp	ADV
ajst-20191	117	14	algorithm	algorithm	NOUN
ajst-20191	117	15	in	in	ADP
ajst-20191	117	16	underwater	underwater	ADJ
ajst-20191	117	17	matching	matching	NOUN
ajst-20191	117	18	navigation	navigation	NOUN
ajst-20191	117	19	.	.	PUNCT
ajst-20191	118	1	journal	journal	PROPN
ajst-20191	118	2	of	of	ADP
ajst-20191	118	3	geomatics	geomatics	PROPN
ajst-20191	118	4	science	science	NOUN
ajst-20191	118	5	and	and	CCONJ
ajst-20191	118	6	technology	technology	NOUN
ajst-20191	118	7	2020	2020	NUM
ajst-20191	118	8	,	,	PUNCT
ajst-20191	118	9	37	37	NUM
ajst-20191	118	10	,	,	PUNCT
ajst-20191	118	11	350	350	NUM
ajst-20191	118	12	-	-	SYM
ajst-20191	118	13	355	355	NUM
ajst-20191	118	14	.	.	PUNCT
ajst-20191	119	1	[	[	X
ajst-20191	119	2	8	8	NUM
ajst-20191	119	3	]	]	X
ajst-20191	119	4	zhou	zhou	PROPN
ajst-20191	119	5	,	,	PUNCT
ajst-20191	119	6	j.s	j.s	PROPN
ajst-20191	119	7	.	.	PROPN
ajst-20191	119	8	;	;	PUNCT
ajst-20191	119	9	xiao	xiao	PROPN
ajst-20191	119	10	,	,	PUNCT
ajst-20191	119	11	y.	y.	PROPN
ajst-20191	119	12	;	;	PUNCT
ajst-20191	119	13	sun	sun	PROPN
ajst-20191	119	14	,	,	PUNCT
ajst-20191	119	15	a.b	a.b	PROPN
ajst-20191	119	16	.	.	PROPN
ajst-20191	119	17	gravity	gravity	NOUN
ajst-20191	119	18	matching	matching	NOUN
ajst-20191	119	19	navigation	navigation	NOUN
ajst-20191	119	20	technology	technology	NOUN
ajst-20191	119	21	based	base	VERB
ajst-20191	119	22	on	on	ADP
ajst-20191	119	23	integration	integration	NOUN
ajst-20191	119	24	of	of	ADP
ajst-20191	119	25	tercom	tercom	NOUN
ajst-20191	119	26	and	and	CCONJ
ajst-20191	119	27	iccp	iccp	ADV
ajst-20191	119	28	.	.	PUNCT
ajst-20191	120	1	navigation	navigation	NOUN
ajst-20191	120	2	positioning	positioning	NOUN
ajst-20191	120	3	and	and	CCONJ
ajst-20191	120	4	timing	timing	NOUN
ajst-20191	120	5	2021	2021	NUM
ajst-20191	120	6	,	,	PUNCT
ajst-20191	120	7	8	8	NUM
ajst-20191	120	8	,	,	PUNCT
ajst-20191	120	9	115	115	NUM
ajst-20191	120	10	-	-	SYM
ajst-20191	120	11	124	124	NUM
ajst-20191	120	12	,	,	PUNCT
ajst-20191	120	13	doi:10.19306	doi:10.19306	NOUN
ajst-20191	120	14	/	/	SYM
ajst-20191	120	15	j.cnki.2095	j.cnki.2095	NOUN
ajst-20191	120	16	-	-	PROPN
ajst-20191	120	17	8110.2021.01.013	8110.2021.01.013	PROPN
ajst-20191	120	18	.	.	PUNCT
ajst-20191	121	1	[	[	X
ajst-20191	121	2	9	9	NUM
ajst-20191	121	3	]	]	SYM
ajst-20191	121	4	xu	xu	PROPN
ajst-20191	121	5	,	,	PUNCT
ajst-20191	121	6	z.x	z.x	PROPN
ajst-20191	121	7	.	.	PROPN
ajst-20191	121	8	;	;	PUNCT
ajst-20191	121	9	zhang	zhang	PROPN
ajst-20191	121	10	,	,	PUNCT
ajst-20191	121	11	j.y	j.y	PROPN
ajst-20191	121	12	.	.	PROPN
ajst-20191	121	13	;	;	PUNCT
ajst-20191	121	14	wang	wang	PROPN
ajst-20191	121	15	,	,	PUNCT
ajst-20191	121	16	p.	p.	PROPN
ajst-20191	121	17	;	;	PUNCT
ajst-20191	121	18	zhao	zhao	X
ajst-20191	121	19	,	,	PUNCT
ajst-20191	121	20	m.	m.	NOUN
ajst-20191	121	21	analysis	analysis	NOUN
ajst-20191	121	22	of	of	ADP
ajst-20191	121	23	underwater	underwater	ADJ
ajst-20191	121	24	terrain	terrain	NOUN
ajst-20191	121	25	aided	aid	VERB
ajst-20191	121	26	navigation	navigation	NOUN
ajst-20191	121	27	performance	performance	NOUN
ajst-20191	121	28	based	base	VERB
ajst-20191	121	29	on	on	ADP
ajst-20191	121	30	combination	combination	NOUN
ajst-20191	121	31	algorithm	algorithm	NOUN
ajst-20191	121	32	.	.	PUNCT
ajst-20191	122	1	ship	ship	NOUN
ajst-20191	122	2	science	science	NOUN
ajst-20191	122	3	and	and	CCONJ
ajst-20191	122	4	technology	technology	NOUN
ajst-20191	122	5	2021	2021	NUM
ajst-20191	122	6	,	,	PUNCT
ajst-20191	122	7	43	43	NUM
ajst-20191	122	8	,	,	PUNCT
ajst-20191	122	9	138	138	NUM
ajst-20191	122	10	-	-	SYM
ajst-20191	122	11	144	144	NUM
ajst-20191	122	12	.	.	PUNCT
ajst-20191	123	1	[	[	X
ajst-20191	123	2	10	10	NUM
ajst-20191	123	3	]	]	X
ajst-20191	123	4	wu	wu	PROPN
ajst-20191	123	5	,	,	PUNCT
ajst-20191	123	6	r.y	r.y	PROPN
ajst-20191	123	7	.	.	PROPN
ajst-20191	123	8	;	;	PUNCT
ajst-20191	123	9	wang	wang	PROPN
ajst-20191	123	10	,	,	PUNCT
ajst-20191	123	11	y.	y.	PROPN
ajst-20191	123	12	;	;	PUNCT
ajst-20191	123	13	sun	sun	NOUN
ajst-20191	123	14	,	,	PUNCT
ajst-20191	123	15	y.	y.	PROPN
ajst-20191	123	16	a	a	DET
ajst-20191	123	17	two	two	NUM
ajst-20191	123	18	-	-	PUNCT
ajst-20191	123	19	step	step	NOUN
ajst-20191	123	20	tercom	tercom	NOUN
ajst-20191	123	21	gravity	gravity	NOUN
ajst-20191	123	22	matching	matching	NOUN
ajst-20191	123	23	algorithm	algorithm	NOUN
ajst-20191	123	24	based	base	VERB
ajst-20191	123	25	on	on	ADP
ajst-20191	123	26	affine	affine	NOUN
ajst-20191	123	27	transformation	transformation	NOUN
ajst-20191	123	28	.	.	PUNCT
ajst-20191	124	1	navigation	navigation	NOUN
ajst-20191	124	2	and	and	CCONJ
ajst-20191	124	3	control	control	NOUN
ajst-20191	124	4	2023	2023	NUM
ajst-20191	124	5	,	,	PUNCT
ajst-20191	124	6	22	22	NUM
ajst-20191	124	7	,	,	PUNCT
ajst-20191	124	8	44	44	NUM
ajst-20191	124	9	-	-	SYM
ajst-20191	124	10	53	53	NUM
ajst-20191	124	11	.	.	PUNCT
ajst-20191	125	1	[	[	X
ajst-20191	125	2	11	11	NUM
ajst-20191	125	3	]	]	X
ajst-20191	125	4	wang	wang	PROPN
ajst-20191	125	5	,	,	PUNCT
ajst-20191	125	6	d.	d.	PROPN
ajst-20191	125	7	;	;	PUNCT
ajst-20191	125	8	liu	liu	PROPN
ajst-20191	125	9	,	,	PUNCT
ajst-20191	125	10	l.q	l.q	PROPN
ajst-20191	125	11	.	.	PROPN
ajst-20191	125	12	;	;	PUNCT
ajst-20191	125	13	ben	ben	PROPN
ajst-20191	125	14	,	,	PUNCT
ajst-20191	125	15	y.y	y.y	PROPN
ajst-20191	125	16	.	.	PROPN
ajst-20191	125	17	terrain	terrain	NOUN
ajst-20191	125	18	aided	aid	VERB
ajst-20191	125	19	navigation	navigation	NOUN
ajst-20191	125	20	algorithm	algorithm	NOUN
ajst-20191	125	21	based	base	VERB
ajst-20191	125	22	on	on	ADP
ajst-20191	125	23	improved	improved	ADJ
ajst-20191	125	24	tercom	tercom	PROPN
ajst-20191	125	25	journal	journal	NOUN
ajst-20191	125	26	of	of	ADP
ajst-20191	125	27	chinese	chinese	ADJ
ajst-20191	125	28	inertial	inertial	ADJ
ajst-20191	125	29	technology	technology	NOUN
ajst-20191	125	30	2023	2023	NUM
ajst-20191	125	31	,	,	PUNCT
ajst-20191	125	32	31	31	NUM
ajst-20191	125	33	,	,	PUNCT
ajst-20191	125	34	165	165	NUM
ajst-20191	125	35	-	-	SYM
ajst-20191	125	36	170	170	NUM
ajst-20191	125	37	,	,	PUNCT
ajst-20191	125	38	doi:10.13695	doi:10.13695	PROPN
ajst-20191	125	39	/	/	SYM
ajst-20191	125	40	j.cnki.12	j.cnki.12	NOUN
ajst-20191	125	41	-	-	PUNCT
ajst-20191	125	42	1222	1222	NUM
ajst-20191	125	43	/	/	SYM
ajst-20191	125	44	o3.2023.02.009	o3.2023.02.009	PROPN
ajst-20191	125	45	.	.	PUNCT