id	sid	tid	token	lemma	pos
ajst-10386	1	1	academic	academic	ADJ
ajst-10386	1	2	journal	journal	NOUN
ajst-10386	1	3	of	of	ADP
ajst-10386	1	4	science	science	NOUN
ajst-10386	1	5	and	and	CCONJ
ajst-10386	1	6	technology	technology	NOUN
ajst-10386	1	7	issn	issn	NOUN
ajst-10386	1	8	:	:	PUNCT
ajst-10386	1	9	2771	2771	NUM
ajst-10386	1	10	-	-	SYM
ajst-10386	1	11	3032	3032	NUM
ajst-10386	1	12	|	|	NOUN
ajst-10386	1	13	vol	vol	NOUN
ajst-10386	1	14	.	.	PROPN
ajst-10386	2	1	6	6	NUM
ajst-10386	2	2	,	,	PUNCT
ajst-10386	2	3	no	no	INTJ
ajst-10386	2	4	.	.	NOUN
ajst-10386	2	5	3	3	NUM
ajst-10386	2	6	,	,	PUNCT
ajst-10386	2	7	2023	2023	NUM
ajst-10386	2	8	73	73	NUM
ajst-10386	2	9	study	study	NOUN
ajst-10386	2	10	on	on	ADP
ajst-10386	2	11	the	the	DET
ajst-10386	2	12	error	error	NOUN
ajst-10386	2	13	correction	correction	NOUN
ajst-10386	2	14	method	method	NOUN
ajst-10386	2	15	of	of	ADP
ajst-10386	2	16	three‐axis	three‐axis	ADJ
ajst-10386	2	17	fluxgate	fluxgate	NOUN
ajst-10386	2	18	sensor	sensor	PROPN
ajst-10386	2	19	yongxin	yongxin	PROPN
ajst-10386	2	20	li	li	PROPN
ajst-10386	2	21	*	*	PROPN
ajst-10386	2	22	,	,	PUNCT
ajst-10386	2	23	kun	kun	PROPN
ajst-10386	2	24	wu	wu	PROPN
ajst-10386	2	25	,	,	PUNCT
ajst-10386	2	26	zhiyu	zhiyu	NOUN
ajst-10386	2	27	lu	lu	PROPN
ajst-10386	2	28	college	college	PROPN
ajst-10386	2	29	of	of	ADP
ajst-10386	2	30	electrical	electrical	PROPN
ajst-10386	2	31	&	&	CCONJ
ajst-10386	2	32	information	information	NOUN
ajst-10386	2	33	,	,	PUNCT
ajst-10386	2	34	southwest	southwest	PROPN
ajst-10386	2	35	minzu	minzu	PROPN
ajst-10386	2	36	university	university	PROPN
ajst-10386	2	37	,	,	PUNCT
ajst-10386	2	38	chengdu	chengdu	PROPN
ajst-10386	2	39	610225	610225	NUM
ajst-10386	2	40	,	,	PUNCT
ajst-10386	2	41	china	china	PROPN
ajst-10386	2	42	*	*	PUNCT
ajst-10386	2	43	corresponding	correspond	VERB
ajst-10386	2	44	author	author	NOUN
ajst-10386	2	45	abstract	abstract	NOUN
ajst-10386	2	46	:	:	PUNCT
ajst-10386	2	47	three	three	NUM
ajst-10386	2	48	-	-	PUNCT
ajst-10386	2	49	axis	axis	NOUN
ajst-10386	2	50	fluxgate	fluxgate	NOUN
ajst-10386	2	51	sensors	sensor	NOUN
ajst-10386	2	52	are	be	AUX
ajst-10386	2	53	quite	quite	ADV
ajst-10386	2	54	widely	widely	ADV
ajst-10386	2	55	used	use	VERB
ajst-10386	2	56	in	in	ADP
ajst-10386	2	57	various	various	ADJ
ajst-10386	2	58	industries	industry	NOUN
ajst-10386	2	59	.	.	PUNCT
ajst-10386	3	1	however	however	ADV
ajst-10386	3	2	,	,	PUNCT
ajst-10386	3	3	due	due	ADP
ajst-10386	3	4	to	to	ADP
ajst-10386	3	5	the	the	DET
ajst-10386	3	6	inherent	inherent	ADJ
ajst-10386	3	7	limitations	limitation	NOUN
ajst-10386	3	8	of	of	ADP
ajst-10386	3	9	their	their	PRON
ajst-10386	3	10	manufacturing	manufacturing	NOUN
ajst-10386	3	11	process	process	NOUN
ajst-10386	3	12	,	,	PUNCT
ajst-10386	3	13	various	various	ADJ
ajst-10386	3	14	deviations	deviation	NOUN
ajst-10386	3	15	can	can	AUX
ajst-10386	3	16	occur	occur	VERB
ajst-10386	3	17	.	.	PUNCT
ajst-10386	4	1	in	in	ADP
ajst-10386	4	2	this	this	DET
ajst-10386	4	3	paper	paper	NOUN
ajst-10386	4	4	,	,	PUNCT
ajst-10386	4	5	we	we	PRON
ajst-10386	4	6	study	study	VERB
ajst-10386	4	7	and	and	CCONJ
ajst-10386	4	8	analyze	analyze	VERB
ajst-10386	4	9	the	the	DET
ajst-10386	4	10	sources	source	NOUN
ajst-10386	4	11	of	of	ADP
ajst-10386	4	12	errors	error	NOUN
ajst-10386	4	13	of	of	ADP
ajst-10386	4	14	three	three	NUM
ajst-10386	4	15	-	-	PUNCT
ajst-10386	4	16	axis	axis	NOUN
ajst-10386	4	17	fluxgate	fluxgate	NOUN
ajst-10386	4	18	sensors	sensor	NOUN
ajst-10386	4	19	,	,	PUNCT
ajst-10386	4	20	and	and	CCONJ
ajst-10386	4	21	construct	construct	VERB
ajst-10386	4	22	a	a	DET
ajst-10386	4	23	corresponding	corresponding	ADJ
ajst-10386	4	24	error	error	NOUN
ajst-10386	4	25	model	model	NOUN
ajst-10386	4	26	.	.	PUNCT
ajst-10386	5	1	the	the	DET
ajst-10386	5	2	three	three	NUM
ajst-10386	5	3	-	-	PUNCT
ajst-10386	5	4	axis	axis	NOUN
ajst-10386	5	5	fluxgate	fluxgate	NOUN
ajst-10386	5	6	sensor	sensor	NOUN
ajst-10386	5	7	is	be	AUX
ajst-10386	5	8	successfully	successfully	ADV
ajst-10386	5	9	calibrated	calibrate	VERB
ajst-10386	5	10	by	by	ADP
ajst-10386	5	11	the	the	DET
ajst-10386	5	12	extended	extended	ADJ
ajst-10386	5	13	kalman	kalman	NOUN
ajst-10386	5	14	filter	filter	NOUN
ajst-10386	5	15	algorithm	algorithm	NOUN
ajst-10386	5	16	.	.	PUNCT
ajst-10386	6	1	both	both	DET
ajst-10386	6	2	simulations	simulation	NOUN
ajst-10386	6	3	and	and	CCONJ
ajst-10386	6	4	experiments	experiment	NOUN
ajst-10386	6	5	demonstrate	demonstrate	VERB
ajst-10386	6	6	that	that	SCONJ
ajst-10386	6	7	the	the	DET
ajst-10386	6	8	method	method	NOUN
ajst-10386	6	9	is	be	AUX
ajst-10386	6	10	effective	effective	ADJ
ajst-10386	6	11	in	in	ADP
ajst-10386	6	12	correcting	correct	VERB
ajst-10386	6	13	the	the	DET
ajst-10386	6	14	three	three	NUM
ajst-10386	6	15	-	-	PUNCT
ajst-10386	6	16	axis	axis	NOUN
ajst-10386	6	17	fluxgate	fluxgate	NOUN
ajst-10386	6	18	sensor	sensor	NOUN
ajst-10386	6	19	.	.	PUNCT
ajst-10386	7	1	in	in	ADP
ajst-10386	7	2	the	the	DET
ajst-10386	7	3	experimental	experimental	ADJ
ajst-10386	7	4	stage	stage	NOUN
ajst-10386	7	5	,	,	PUNCT
ajst-10386	7	6	the	the	DET
ajst-10386	7	7	error	error	NOUN
ajst-10386	7	8	was	be	AUX
ajst-10386	7	9	reduced	reduce	VERB
ajst-10386	7	10	by	by	ADP
ajst-10386	7	11	two	two	NUM
ajst-10386	7	12	orders	order	NOUN
ajst-10386	7	13	of	of	ADP
ajst-10386	7	14	magnitude	magnitude	NOUN
ajst-10386	7	15	by	by	ADP
ajst-10386	7	16	applying	apply	VERB
ajst-10386	7	17	the	the	DET
ajst-10386	7	18	extended	extended	ADJ
ajst-10386	7	19	kalman	kalman	NOUN
ajst-10386	7	20	filter	filter	NOUN
ajst-10386	7	21	.	.	PUNCT
ajst-10386	8	1	keywords	keyword	NOUN
ajst-10386	8	2	:	:	PUNCT
ajst-10386	8	3	three	three	NUM
ajst-10386	8	4	-	-	PUNCT
ajst-10386	8	5	axis	axis	NOUN
ajst-10386	8	6	magnetic	magnetic	ADJ
ajst-10386	8	7	sensor	sensor	NOUN
ajst-10386	8	8	,	,	PUNCT
ajst-10386	8	9	extended	extend	VERB
ajst-10386	8	10	kalman	kalman	NOUN
ajst-10386	8	11	filter	filter	NOUN
ajst-10386	8	12	,	,	PUNCT
ajst-10386	8	13	error	error	NOUN
ajst-10386	8	14	correction	correction	NOUN
ajst-10386	8	15	1	1	NUM
ajst-10386	8	16	.	.	PUNCT
ajst-10386	9	1	introduction	introduction	NOUN
ajst-10386	9	2	magnetic	magnetic	ADJ
ajst-10386	9	3	exploration	exploration	NOUN
ajst-10386	9	4	is	be	AUX
ajst-10386	9	5	one	one	NUM
ajst-10386	9	6	of	of	ADP
ajst-10386	9	7	the	the	DET
ajst-10386	9	8	oldest	old	ADJ
ajst-10386	9	9	geophysical	geophysical	ADJ
ajst-10386	9	10	exploration	exploration	NOUN
ajst-10386	9	11	methods	method	NOUN
ajst-10386	9	12	,	,	PUNCT
ajst-10386	9	13	which	which	PRON
ajst-10386	9	14	plays	play	VERB
ajst-10386	9	15	an	an	DET
ajst-10386	9	16	important	important	ADJ
ajst-10386	9	17	role	role	NOUN
ajst-10386	9	18	in	in	ADP
ajst-10386	9	19	various	various	ADJ
ajst-10386	9	20	fields	field	NOUN
ajst-10386	9	21	such	such	ADJ
ajst-10386	9	22	as	as	ADP
ajst-10386	9	23	national	national	ADJ
ajst-10386	9	24	defense	defense	NOUN
ajst-10386	9	25	construction	construction	NOUN
ajst-10386	10	1	[	[	X
ajst-10386	10	2	1	1	NUM
ajst-10386	10	3	]	]	PUNCT
ajst-10386	10	4	,	,	PUNCT
ajst-10386	10	5	aerospace	aerospace	NOUN
ajst-10386	10	6	[	[	X
ajst-10386	10	7	2	2	NUM
ajst-10386	10	8	,	,	PUNCT
ajst-10386	10	9	3	3	NUM
ajst-10386	10	10	]	]	PUNCT
ajst-10386	10	11	,	,	PUNCT
ajst-10386	10	12	mineral	mineral	NOUN
ajst-10386	10	13	census	census	NOUN
ajst-10386	10	14	,	,	PUNCT
ajst-10386	10	15	etc	etc	X
ajst-10386	10	16	.	.	X
ajst-10386	10	17	,	,	PUNCT
ajst-10386	10	18	in	in	ADP
ajst-10386	10	19	which	which	PRON
ajst-10386	10	20	the	the	DET
ajst-10386	10	21	triaxial	triaxial	ADJ
ajst-10386	10	22	fluxgate	fluxgate	NOUN
ajst-10386	10	23	sensor	sensor	NOUN
ajst-10386	10	24	is	be	AUX
ajst-10386	10	25	widely	widely	ADV
ajst-10386	10	26	used	use	VERB
ajst-10386	10	27	because	because	SCONJ
ajst-10386	10	28	of	of	ADP
ajst-10386	10	29	its	its	PRON
ajst-10386	10	30	good	good	ADJ
ajst-10386	10	31	stability	stability	NOUN
ajst-10386	10	32	and	and	CCONJ
ajst-10386	10	33	high	high	ADJ
ajst-10386	10	34	resolution	resolution	NOUN
ajst-10386	10	35	.	.	PUNCT
ajst-10386	11	1	however	however	ADV
ajst-10386	11	2	,	,	PUNCT
ajst-10386	11	3	due	due	ADP
ajst-10386	11	4	to	to	ADP
ajst-10386	11	5	the	the	DET
ajst-10386	11	6	influence	influence	NOUN
ajst-10386	11	7	of	of	ADP
ajst-10386	11	8	the	the	DET
ajst-10386	11	9	processing	processing	NOUN
ajst-10386	11	10	technology	technology	NOUN
ajst-10386	11	11	and	and	CCONJ
ajst-10386	11	12	the	the	DET
ajst-10386	11	13	field	field	NOUN
ajst-10386	11	14	environment	environment	NOUN
ajst-10386	11	15	,	,	PUNCT
ajst-10386	11	16	when	when	SCONJ
ajst-10386	11	17	using	use	VERB
ajst-10386	11	18	the	the	DET
ajst-10386	11	19	threeaxis	threeaxi	VERB
ajst-10386	11	20	fluxgate	fluxgate	NOUN
ajst-10386	11	21	sensor	sensor	NOUN
ajst-10386	11	22	to	to	PART
ajst-10386	11	23	detect	detect	VERB
ajst-10386	11	24	the	the	DET
ajst-10386	11	25	magnetic	magnetic	ADJ
ajst-10386	11	26	field	field	NOUN
ajst-10386	11	27	of	of	ADP
ajst-10386	11	28	such	such	DET
ajst-10386	11	29	a	a	DET
ajst-10386	11	30	weak	weak	ADJ
ajst-10386	11	31	signal	signal	NOUN
ajst-10386	11	32	,	,	PUNCT
ajst-10386	11	33	the	the	DET
ajst-10386	11	34	three	three	NUM
ajst-10386	11	35	-	-	PUNCT
ajst-10386	11	36	axis	axis	NOUN
ajst-10386	11	37	fluxgate	fluxgate	NOUN
ajst-10386	11	38	sensor	sensor	NOUN
ajst-10386	11	39	will	will	AUX
ajst-10386	11	40	appear	appear	VERB
ajst-10386	11	41	scale	scale	NOUN
ajst-10386	11	42	factor	factor	NOUN
ajst-10386	11	43	error	error	NOUN
ajst-10386	11	44	,	,	PUNCT
ajst-10386	11	45	non	non	ADJ
ajst-10386	11	46	-	-	ADJ
ajst-10386	11	47	orthogonal	orthogonal	ADJ
ajst-10386	11	48	error	error	NOUN
ajst-10386	11	49	,	,	PUNCT
ajst-10386	11	50	zero	zero	NUM
ajst-10386	11	51	bias	bias	NOUN
ajst-10386	11	52	error	error	NOUN
ajst-10386	11	53	and	and	CCONJ
ajst-10386	11	54	random	random	ADJ
ajst-10386	11	55	noise	noise	NOUN
ajst-10386	11	56	and	and	CCONJ
ajst-10386	11	57	other	other	ADJ
ajst-10386	11	58	errors	error	NOUN
ajst-10386	11	59	.	.	PUNCT
ajst-10386	12	1	and	and	CCONJ
ajst-10386	12	2	the	the	DET
ajst-10386	12	3	simulation	simulation	NOUN
ajst-10386	12	4	shows	show	VERB
ajst-10386	12	5	that	that	SCONJ
ajst-10386	12	6	,	,	PUNCT
ajst-10386	12	7	without	without	ADP
ajst-10386	12	8	error	error	NOUN
ajst-10386	12	9	correction	correction	NOUN
ajst-10386	12	10	,	,	PUNCT
ajst-10386	12	11	the	the	DET
ajst-10386	12	12	scale	scale	NOUN
ajst-10386	12	13	factor	factor	NOUN
ajst-10386	12	14	error	error	NOUN
ajst-10386	12	15	of	of	ADP
ajst-10386	12	16	more	more	ADJ
ajst-10386	12	17	than	than	ADP
ajst-10386	12	18	0.001	0.001	NUM
ajst-10386	12	19	will	will	AUX
ajst-10386	12	20	produce	produce	VERB
ajst-10386	12	21	more	more	ADJ
ajst-10386	12	22	than	than	ADP
ajst-10386	12	23	50nt	50nt	ADJ
ajst-10386	12	24	error	error	NOUN
ajst-10386	12	25	on	on	ADP
ajst-10386	12	26	the	the	DET
ajst-10386	12	27	measurement	measurement	NOUN
ajst-10386	12	28	results	result	NOUN
ajst-10386	12	29	,	,	PUNCT
ajst-10386	12	30	the	the	DET
ajst-10386	12	31	non	non	ADJ
ajst-10386	12	32	-	-	ADJ
ajst-10386	12	33	orthogonal	orthogonal	ADJ
ajst-10386	12	34	error	error	NOUN
ajst-10386	12	35	of	of	ADP
ajst-10386	12	36	more	more	ADJ
ajst-10386	12	37	than	than	ADP
ajst-10386	12	38	0.1	0.1	NUM
ajst-10386	12	39	°	°	NOUN
ajst-10386	12	40	will	will	AUX
ajst-10386	12	41	produce	produce	VERB
ajst-10386	12	42	more	more	ADJ
ajst-10386	12	43	than	than	ADP
ajst-10386	12	44	51.08nt	51.08nt	NUM
ajst-10386	12	45	error	error	NOUN
ajst-10386	12	46	on	on	ADP
ajst-10386	12	47	the	the	DET
ajst-10386	12	48	measurement	measurement	NOUN
ajst-10386	12	49	results	result	NOUN
ajst-10386	12	50	,	,	PUNCT
ajst-10386	12	51	and	and	CCONJ
ajst-10386	12	52	the	the	DET
ajst-10386	12	53	zero	zero	NUM
ajst-10386	12	54	bias	bias	NOUN
ajst-10386	12	55	error	error	NOUN
ajst-10386	12	56	of	of	ADP
ajst-10386	12	57	more	more	ADJ
ajst-10386	12	58	than	than	ADP
ajst-10386	12	59	10nt	10nt	NOUN
ajst-10386	12	60	will	will	AUX
ajst-10386	12	61	produce	produce	VERB
ajst-10386	12	62	more	more	ADJ
ajst-10386	12	63	than	than	ADP
ajst-10386	12	64	14.74nt	14.74nt	NUM
ajst-10386	12	65	on	on	ADP
ajst-10386	12	66	the	the	DET
ajst-10386	12	67	measurement	measurement	NOUN
ajst-10386	12	68	results	result	NOUN
ajst-10386	12	69	,	,	PUNCT
ajst-10386	12	70	and	and	CCONJ
ajst-10386	12	71	the	the	DET
ajst-10386	12	72	measurement	measurement	NOUN
ajst-10386	12	73	accuracy	accuracy	NOUN
ajst-10386	12	74	of	of	ADP
ajst-10386	12	75	magnetic	magnetic	ADJ
ajst-10386	12	76	sensors	sensor	NOUN
ajst-10386	12	77	will	will	AUX
ajst-10386	12	78	be	be	AUX
ajst-10386	12	79	directly	directly	ADV
ajst-10386	12	80	related	relate	VERB
ajst-10386	12	81	to	to	ADP
ajst-10386	12	82	the	the	DET
ajst-10386	12	83	accuracy	accuracy	NOUN
ajst-10386	12	84	of	of	ADP
ajst-10386	12	85	the	the	DET
ajst-10386	12	86	measured	measured	ADJ
ajst-10386	12	87	data	datum	NOUN
ajst-10386	12	88	,	,	PUNCT
ajst-10386	12	89	therefore	therefore	ADV
ajst-10386	12	90	,	,	PUNCT
ajst-10386	12	91	it	it	PRON
ajst-10386	12	92	is	be	AUX
ajst-10386	12	93	of	of	ADP
ajst-10386	12	94	great	great	ADJ
ajst-10386	12	95	significance	significance	NOUN
ajst-10386	12	96	to	to	PART
ajst-10386	12	97	study	study	VERB
ajst-10386	12	98	how	how	SCONJ
ajst-10386	12	99	to	to	PART
ajst-10386	12	100	reduce	reduce	VERB
ajst-10386	12	101	the	the	DET
ajst-10386	12	102	error	error	NOUN
ajst-10386	12	103	of	of	ADP
ajst-10386	12	104	magnetic	magnetic	ADJ
ajst-10386	12	105	sensors	sensor	NOUN
ajst-10386	12	106	to	to	PART
ajst-10386	12	107	make	make	VERB
ajst-10386	12	108	them	they	PRON
ajst-10386	12	109	closer	close	ADJ
ajst-10386	12	110	to	to	ADP
ajst-10386	12	111	the	the	DET
ajst-10386	12	112	ideal	ideal	ADJ
ajst-10386	12	113	state	state	NOUN
ajst-10386	12	114	.	.	PUNCT
ajst-10386	13	1	wu	wu	PROPN
ajst-10386	13	2	et	et	PROPN
ajst-10386	13	3	al	al	PROPN
ajst-10386	13	4	.	.	PROPN
ajst-10386	13	5	used	use	VERB
ajst-10386	13	6	a	a	DET
ajst-10386	13	7	particle	particle	NOUN
ajst-10386	13	8	swarm	swarm	NOUN
ajst-10386	13	9	algorithm	algorithm	NOUN
ajst-10386	13	10	to	to	PART
ajst-10386	13	11	estimate	estimate	VERB
ajst-10386	13	12	the	the	DET
ajst-10386	13	13	magnetic	magnetic	ADJ
ajst-10386	13	14	sensor	sensor	NOUN
ajst-10386	13	15	error	error	NOUN
ajst-10386	13	16	,	,	PUNCT
ajst-10386	13	17	and	and	CCONJ
ajst-10386	13	18	effectively	effectively	ADV
ajst-10386	13	19	corrected	correct	VERB
ajst-10386	13	20	the	the	DET
ajst-10386	13	21	shortcutconnected	shortcutconnected	ADJ
ajst-10386	13	22	three	three	NUM
ajst-10386	13	23	-	-	PUNCT
ajst-10386	13	24	axis	axis	NOUN
ajst-10386	13	25	magnetic	magnetic	ADJ
ajst-10386	13	26	sensor	sensor	NOUN
ajst-10386	13	27	error	error	NOUN
ajst-10386	13	28	[	[	X
ajst-10386	13	29	4].in	4].in	NUM
ajst-10386	13	30	2017	2017	NUM
ajst-10386	13	31	,	,	PUNCT
ajst-10386	13	32	yuan	yuan	NOUN
ajst-10386	13	33	et	et	PROPN
ajst-10386	13	34	al	al	PROPN
ajst-10386	13	35	.	.	PROPN
ajst-10386	13	36	designed	design	VERB
ajst-10386	13	37	a	a	DET
ajst-10386	13	38	spatial	spatial	ADJ
ajst-10386	13	39	ellipsoidal	ellipsoidal	ADJ
ajst-10386	13	40	magnetometer	magnetometer	NOUN
ajst-10386	13	41	calibration	calibration	NOUN
ajst-10386	13	42	method	method	NOUN
ajst-10386	13	43	based	base	VERB
ajst-10386	13	44	on	on	ADP
ajst-10386	13	45	adaptive	adaptive	ADJ
ajst-10386	13	46	genetic	genetic	ADJ
ajst-10386	13	47	algorithm	algorithm	NOUN
ajst-10386	14	1	[	[	X
ajst-10386	14	2	5	5	NUM
ajst-10386	14	3	]	]	PUNCT
ajst-10386	14	4	,	,	PUNCT
ajst-10386	14	5	which	which	PRON
ajst-10386	14	6	simultaneously	simultaneously	ADV
ajst-10386	14	7	took	take	VERB
ajst-10386	14	8	into	into	ADP
ajst-10386	14	9	account	account	NOUN
ajst-10386	14	10	the	the	DET
ajst-10386	14	11	three	three	NUM
ajst-10386	14	12	-	-	PUNCT
ajst-10386	14	13	axis	axis	NOUN
ajst-10386	14	14	magnetic	magnetic	ADJ
ajst-10386	14	15	sensor	sensor	NOUN
ajst-10386	14	16	error	error	NOUN
ajst-10386	14	17	and	and	CCONJ
ajst-10386	14	18	its	its	PRON
ajst-10386	14	19	installation	installation	NOUN
ajst-10386	14	20	error.in	error.in	X
ajst-10386	14	21	2019	2019	NUM
ajst-10386	14	22	,	,	PUNCT
ajst-10386	14	23	luo	luo	PROPN
ajst-10386	14	24	et	et	PROPN
ajst-10386	14	25	al	al	PROPN
ajst-10386	14	26	.	.	PROPN
ajst-10386	14	27	corrected	correct	VERB
ajst-10386	14	28	the	the	DET
ajst-10386	14	29	three	three	NUM
ajst-10386	14	30	-	-	PUNCT
ajst-10386	14	31	axis	axis	NOUN
ajst-10386	14	32	magnetic	magnetic	ADJ
ajst-10386	14	33	flux	flux	PROPN
ajst-10386	14	34	gate	gate	PROPN
ajst-10386	14	35	sensor	sensor	NOUN
ajst-10386	14	36	error	error	NOUN
ajst-10386	14	37	[	[	X
ajst-10386	14	38	6].in	6].in	NUM
ajst-10386	14	39	2022	2022	NUM
ajst-10386	14	40	,	,	PUNCT
ajst-10386	14	41	li	li	PROPN
ajst-10386	14	42	et	et	PROPN
ajst-10386	14	43	al	al	PROPN
ajst-10386	14	44	.	.	PROPN
ajst-10386	14	45	accomplished	accomplish	VERB
ajst-10386	14	46	the	the	DET
ajst-10386	14	47	calibration	calibration	NOUN
ajst-10386	14	48	of	of	ADP
ajst-10386	14	49	a	a	DET
ajst-10386	14	50	three	three	NUM
ajst-10386	14	51	-	-	PUNCT
ajst-10386	14	52	axis	axis	NOUN
ajst-10386	14	53	fluxgate	fluxgate	NOUN
ajst-10386	14	54	sensor	sensor	NOUN
ajst-10386	14	55	by	by	ADP
ajst-10386	14	56	a	a	DET
ajst-10386	14	57	combination	combination	NOUN
ajst-10386	14	58	of	of	ADP
ajst-10386	14	59	da	da	ADJ
ajst-10386	14	60	algorithm	algorithm	NOUN
ajst-10386	14	61	and	and	CCONJ
ajst-10386	14	62	lm	lm	NOUN
ajst-10386	14	63	algorithm[7	algorithm[7	NOUN
ajst-10386	14	64	]	]	PUNCT
ajst-10386	14	65	.	.	PUNCT
ajst-10386	15	1	this	this	DET
ajst-10386	15	2	paper	paper	NOUN
ajst-10386	15	3	analyzes	analyze	VERB
ajst-10386	15	4	the	the	DET
ajst-10386	15	5	reasons	reason	NOUN
ajst-10386	15	6	for	for	ADP
ajst-10386	15	7	the	the	DET
ajst-10386	15	8	error	error	NOUN
ajst-10386	15	9	of	of	ADP
ajst-10386	15	10	the	the	DET
ajst-10386	15	11	threeaxis	threeaxis	NOUN
ajst-10386	15	12	magnetic	magnetic	PROPN
ajst-10386	15	13	fluxgate	fluxgate	NOUN
ajst-10386	15	14	sensor	sensor	NOUN
ajst-10386	15	15	to	to	PART
ajst-10386	15	16	establish	establish	VERB
ajst-10386	15	17	an	an	DET
ajst-10386	15	18	error	error	NOUN
ajst-10386	15	19	model	model	NOUN
ajst-10386	15	20	,	,	PUNCT
ajst-10386	15	21	based	base	VERB
ajst-10386	15	22	on	on	ADP
ajst-10386	15	23	the	the	DET
ajst-10386	15	24	geomagnetic	geomagnetic	ADJ
ajst-10386	15	25	total	total	ADJ
ajst-10386	15	26	field	field	NOUN
ajst-10386	15	27	strength	strength	NOUN
ajst-10386	15	28	for	for	ADP
ajst-10386	15	29	a	a	DET
ajst-10386	15	30	short	short	ADJ
ajst-10386	15	31	time	time	NOUN
ajst-10386	15	32	as	as	ADP
ajst-10386	15	33	a	a	DET
ajst-10386	15	34	constant	constant	ADJ
ajst-10386	15	35	scalar	scalar	NOUN
ajst-10386	15	36	,	,	PUNCT
ajst-10386	15	37	the	the	DET
ajst-10386	15	38	three	three	NUM
ajst-10386	15	39	-	-	PUNCT
ajst-10386	15	40	axis	axis	NOUN
ajst-10386	15	41	magnetic	magnetic	ADJ
ajst-10386	15	42	sensors	sensor	NOUN
ajst-10386	15	43	in	in	ADP
ajst-10386	15	44	a	a	DET
ajst-10386	15	45	highly	highly	ADV
ajst-10386	15	46	uniform	uniform	ADJ
ajst-10386	15	47	,	,	PUNCT
ajst-10386	15	48	stable	stable	ADJ
ajst-10386	15	49	magnetic	magnetic	ADJ
ajst-10386	15	50	field	field	NOUN
ajst-10386	15	51	rotation	rotation	NOUN
ajst-10386	15	52	,	,	PUNCT
ajst-10386	15	53	the	the	DET
ajst-10386	15	54	measured	measure	VERB
ajst-10386	15	55	magnetic	magnetic	ADJ
ajst-10386	15	56	data	datum	NOUN
ajst-10386	15	57	synthesized	synthesize	VERB
ajst-10386	15	58	modal	modal	ADJ
ajst-10386	15	59	value	value	NOUN
ajst-10386	15	60	after	after	ADP
ajst-10386	15	61	a	a	DET
ajst-10386	15	62	fixed	fix	VERB
ajst-10386	15	63	value	value	NOUN
ajst-10386	15	64	,	,	PUNCT
ajst-10386	15	65	the	the	DET
ajst-10386	15	66	output	output	NOUN
ajst-10386	15	67	value	value	NOUN
ajst-10386	15	68	of	of	ADP
ajst-10386	15	69	the	the	DET
ajst-10386	15	70	three	three	NUM
ajst-10386	15	71	-	-	PUNCT
ajst-10386	15	72	axis	axis	NOUN
ajst-10386	15	73	sensor	sensor	NOUN
ajst-10386	15	74	is	be	AUX
ajst-10386	15	75	compared	compare	VERB
ajst-10386	15	76	with	with	ADP
ajst-10386	15	77	the	the	DET
ajst-10386	15	78	modal	modal	ADJ
ajst-10386	15	79	value	value	NOUN
ajst-10386	15	80	output	output	NOUN
ajst-10386	15	81	from	from	ADP
ajst-10386	15	82	the	the	DET
ajst-10386	15	83	scalar	scalar	ADJ
ajst-10386	15	84	sensor	sensor	NOUN
ajst-10386	15	85	,	,	PUNCT
ajst-10386	15	86	the	the	DET
ajst-10386	15	87	use	use	NOUN
ajst-10386	15	88	of	of	ADP
ajst-10386	15	89	extended	extended	ADJ
ajst-10386	15	90	kalman	kalman	NOUN
ajst-10386	15	91	filtering	filter	VERB
ajst-10386	15	92	algorithm	algorithm	PROPN
ajst-10386	15	93	to	to	PART
ajst-10386	15	94	find	find	VERB
ajst-10386	15	95	out	out	ADP
ajst-10386	15	96	the	the	DET
ajst-10386	15	97	parameters	parameter	NOUN
ajst-10386	15	98	.	.	PUNCT
ajst-10386	16	1	after	after	ADP
ajst-10386	16	2	simulation	simulation	NOUN
ajst-10386	16	3	and	and	CCONJ
ajst-10386	16	4	experiment	experiment	NOUN
ajst-10386	16	5	,	,	PUNCT
ajst-10386	16	6	the	the	DET
ajst-10386	16	7	algorithm	algorithm	NOUN
ajst-10386	16	8	estimates	estimate	VERB
ajst-10386	16	9	the	the	DET
ajst-10386	16	10	parameters	parameter	NOUN
ajst-10386	16	11	accurately	accurately	ADV
ajst-10386	16	12	and	and	CCONJ
ajst-10386	16	13	has	have	VERB
ajst-10386	16	14	a	a	DET
ajst-10386	16	15	good	good	ADJ
ajst-10386	16	16	calibration	calibration	NOUN
ajst-10386	16	17	effect	effect	NOUN
ajst-10386	16	18	.	.	PUNCT
ajst-10386	17	1	2	2	X
ajst-10386	17	2	.	.	X
ajst-10386	17	3	error	error	NOUN
ajst-10386	17	4	modeling	modeling	NOUN
ajst-10386	17	5	and	and	CCONJ
ajst-10386	17	6	parameter	parameter	NOUN
ajst-10386	17	7	estimation	estimation	NOUN
ajst-10386	17	8	2.1	2.1	NUM
ajst-10386	17	9	.	.	PUNCT
ajst-10386	18	1	error	error	NOUN
ajst-10386	18	2	modeling	model	VERB
ajst-10386	18	3	three	three	NUM
ajst-10386	18	4	mutually	mutually	ADV
ajst-10386	18	5	perpendicular	perpendicular	ADJ
ajst-10386	18	6	magnetic	magnetic	ADJ
ajst-10386	18	7	measurement	measurement	NOUN
ajst-10386	18	8	units	unit	NOUN
ajst-10386	18	9	are	be	AUX
ajst-10386	18	10	built	build	VERB
ajst-10386	18	11	into	into	ADP
ajst-10386	18	12	the	the	DET
ajst-10386	18	13	fluxgate	fluxgate	ADJ
ajst-10386	18	14	sensor	sensor	NOUN
ajst-10386	18	15	in	in	ADP
ajst-10386	18	16	order	order	NOUN
ajst-10386	18	17	to	to	PART
ajst-10386	18	18	measure	measure	VERB
ajst-10386	18	19	the	the	DET
ajst-10386	18	20	vector	vector	NOUN
ajst-10386	18	21	magnetic	magnetic	ADJ
ajst-10386	18	22	field	field	NOUN
ajst-10386	18	23	at	at	ADP
ajst-10386	18	24	various	various	ADJ
ajst-10386	18	25	points	point	NOUN
ajst-10386	18	26	in	in	ADP
ajst-10386	18	27	space	space	NOUN
ajst-10386	18	28	.	.	PUNCT
ajst-10386	19	1	however	however	ADV
ajst-10386	19	2	,	,	PUNCT
ajst-10386	19	3	due	due	ADP
ajst-10386	19	4	to	to	ADP
ajst-10386	19	5	the	the	DET
ajst-10386	19	6	limitations	limitation	NOUN
ajst-10386	19	7	of	of	ADP
ajst-10386	19	8	the	the	DET
ajst-10386	19	9	machining	machining	NOUN
ajst-10386	19	10	process	process	NOUN
ajst-10386	19	11	,	,	PUNCT
ajst-10386	19	12	the	the	DET
ajst-10386	19	13	positions	position	NOUN
ajst-10386	19	14	of	of	ADP
ajst-10386	19	15	these	these	DET
ajst-10386	19	16	three	three	NUM
ajst-10386	19	17	magnetic	magnetic	ADJ
ajst-10386	19	18	measurement	measurement	NOUN
ajst-10386	19	19	units	unit	NOUN
ajst-10386	19	20	do	do	AUX
ajst-10386	19	21	not	not	PART
ajst-10386	19	22	achieve	achieve	VERB
ajst-10386	19	23	an	an	DET
ajst-10386	19	24	ideal	ideal	ADJ
ajst-10386	19	25	perpendicular	perpendicular	ADJ
ajst-10386	19	26	relationship	relationship	NOUN
ajst-10386	19	27	,	,	PUNCT
ajst-10386	19	28	resulting	result	VERB
ajst-10386	19	29	in	in	ADP
ajst-10386	19	30	non	non	ADJ
ajst-10386	19	31	-	-	ADJ
ajst-10386	19	32	orthogonal	orthogonal	ADJ
ajst-10386	19	33	errors	error	NOUN
ajst-10386	19	34	.	.	PUNCT
ajst-10386	20	1	if	if	SCONJ
ajst-10386	20	2	the	the	DET
ajst-10386	20	3	space	space	NOUN
ajst-10386	20	4	magnetic	magnetic	ADJ
ajst-10386	20	5	field	field	NOUN
ajst-10386	20	6	projection	projection	NOUN
ajst-10386	20	7	on	on	ADP
ajst-10386	20	8	the	the	DET
ajst-10386	20	9	ideal	ideal	ADJ
ajst-10386	20	10	sensor	sensor	NOUN
ajst-10386	20	11	coordinate	coordinate	NOUN
ajst-10386	20	12	system	system	NOUN
ajst-10386	20	13	for	for	ADP
ajst-10386	20	14	oxyz	oxyz	NOUN
ajst-10386	20	15	,	,	PUNCT
ajst-10386	20	16	measured	measure	VERB
ajst-10386	20	17	as	as	ADP
ajst-10386	20	18	bx、by、bz	bx、by、bz	PROPN
ajst-10386	20	19	,	,	PUNCT
ajst-10386	20	20	there	there	PRON
ajst-10386	20	21	is	be	VERB
ajst-10386	20	22	a	a	DET
ajst-10386	20	23	non	non	ADJ
ajst-10386	20	24	-	-	ADJ
ajst-10386	20	25	orthogonal	orthogonal	ADJ
ajst-10386	20	26	error	error	NOUN
ajst-10386	20	27	of	of	ADP
ajst-10386	20	28	the	the	DET
ajst-10386	20	29	sensor	sensor	NOUN
ajst-10386	20	30	's	's	PART
ajst-10386	20	31	coordinate	coordinate	NOUN
ajst-10386	20	32	system	system	NOUN
ajst-10386	20	33	for	for	ADP
ajst-10386	20	34	theo1x1y1z1	theo1x1y1z1	NUM
ajst-10386	20	35	,	,	PUNCT
ajst-10386	20	36	the	the	DET
ajst-10386	20	37	measured	measured	ADJ
ajst-10386	20	38	value	value	NOUN
ajst-10386	20	39	of	of	ADP
ajst-10386	20	40	the	the	DET
ajst-10386	20	41	bx1、by1、bz1	bx1、by1、bz1	NOUN
ajst-10386	20	42	.	.	PUNCT
ajst-10386	21	1	o	o	NOUN
ajst-10386	21	2	point	point	NOUN
ajst-10386	21	3	coincides	coincide	VERB
ajst-10386	21	4	with	with	ADP
ajst-10386	21	5	theo1	theo1	NOUN
ajst-10386	21	6	point	point	NOUN
ajst-10386	21	7	,	,	PUNCT
ajst-10386	21	8	the	the	DET
ajst-10386	21	9	oz	oz	NOUN
ajst-10386	21	10	and	and	CCONJ
ajst-10386	21	11	the	the	DET
ajst-10386	21	12	o1z1co	o1z1co	NOUN
ajst-10386	21	13	-	-	PUNCT
ajst-10386	21	14	axial	axial	ADJ
ajst-10386	21	15	,	,	PUNCT
ajst-10386	21	16	the	the	DET
ajst-10386	21	17	oy1	oy1	NOUN
ajst-10386	21	18	is	be	AUX
ajst-10386	21	19	in	in	ADP
ajst-10386	21	20	the	the	DET
ajst-10386	21	21	oyz	oyz	NOUN
ajst-10386	21	22	plane	plane	NOUN
ajst-10386	21	23	,	,	PUNCT
ajst-10386	21	24	and	and	CCONJ
ajst-10386	21	25	let	let	VERB
ajst-10386	21	26	the	the	DET
ajst-10386	21	27	ox1	ox1	NOUN
ajst-10386	21	28	in	in	ADP
ajst-10386	21	29	the	the	DET
ajst-10386	21	30	oxy	oxy	ADJ
ajst-10386	21	31	surface	surface	NOUN
ajst-10386	21	32	of	of	ADP
ajst-10386	21	33	the	the	DET
ajst-10386	21	34	projection	projection	NOUN
ajst-10386	21	35	with	with	ADP
ajst-10386	21	36	the	the	DET
ajst-10386	21	37	angle	angle	NOUN
ajst-10386	21	38	of	of	ADP
ajst-10386	21	39	the	the	DET
ajst-10386	21	40	ox	ox	NOUN
ajst-10386	21	41	is	be	AUX
ajst-10386	21	42	α	α	NOUN
ajst-10386	21	43	,	,	PUNCT
ajst-10386	21	44	the	the	DET
ajst-10386	21	45	angle	angle	NOUN
ajst-10386	21	46	between	between	ADP
ajst-10386	21	47	ox1	ox1	PROPN
ajst-10386	21	48	and	and	CCONJ
ajst-10386	21	49	the	the	DET
ajst-10386	21	50	oxy	oxy	ADJ
ajst-10386	21	51	plane	plane	NOUN
ajst-10386	21	52	is	be	AUX
ajst-10386	21	53	β	β	NOUN
ajst-10386	21	54	,	,	PUNCT
ajst-10386	21	55	and	and	CCONJ
ajst-10386	21	56	the	the	DET
ajst-10386	21	57	angle	angle	NOUN
ajst-10386	21	58	betweenoy1	betweenoy1	NOUN
ajst-10386	21	59	and	and	CCONJ
ajst-10386	21	60	oy	oy	NOUN
ajst-10386	21	61	is	be	AUX
ajst-10386	21	62	γ	γ	PROPN
ajst-10386	21	63	,	,	PUNCT
ajst-10386	21	64	as	as	SCONJ
ajst-10386	21	65	shown	show	VERB
ajst-10386	21	66	below	below	ADV
ajst-10386	21	67	.	.	PUNCT
ajst-10386	22	1	figure	figure	NOUN
ajst-10386	22	2	1	1	NUM
ajst-10386	22	3	.	.	PUNCT
ajst-10386	22	4	schematic	schematic	ADJ
ajst-10386	22	5	diagram	diagram	NOUN
ajst-10386	22	6	of	of	ADP
ajst-10386	22	7	the	the	DET
ajst-10386	22	8	relationship	relationship	NOUN
ajst-10386	22	9	between	between	ADP
ajst-10386	22	10	the	the	DET
ajst-10386	22	11	ideal	ideal	ADJ
ajst-10386	22	12	triaxial	triaxial	ADJ
ajst-10386	22	13	sensor	sensor	NOUN
ajst-10386	22	14	coordinate	coordinate	NOUN
ajst-10386	22	15	system	system	NOUN
ajst-10386	22	16	and	and	CCONJ
ajst-10386	22	17	the	the	DET
ajst-10386	22	18	nonorthogonal	nonorthogonal	ADJ
ajst-10386	22	19	error	error	NOUN
ajst-10386	22	20	coordinate	coordinate	NOUN
ajst-10386	22	21	system	system	NOUN
ajst-10386	22	22	74	74	NUM
ajst-10386	22	23	at	at	ADP
ajst-10386	22	24	this	this	DET
ajst-10386	22	25	point	point	NOUN
ajst-10386	22	26	b=[bx	b=[bx	VERB
ajst-10386	22	27	by	by	ADP
ajst-10386	22	28	bz]t	bz]t	PROPN
ajst-10386	22	29	,	,	PUNCT
ajst-10386	22	30	b1=[bx1	b1=[bx1	NOUN
ajst-10386	22	31	by1	by1	X
ajst-10386	23	1	bz1]t	bz1]t	VERB
ajst-10386	23	2	,	,	PUNCT
ajst-10386	23	3	then	then	ADV
ajst-10386	23	4	we	we	PRON
ajst-10386	23	5	have	have	VERB
ajst-10386	23	6	b1	b1	NOUN
ajst-10386	23	7	=	=	SYM
ajst-10386	23	8	ab	ab	PROPN
ajst-10386	23	9	,	,	PUNCT
ajst-10386	23	10	which	which	PRON
ajst-10386	23	11	is	be	AUX
ajst-10386	23	12	obtained	obtain	VERB
ajst-10386	23	13	from	from	ADP
ajst-10386	23	14	the	the	DET
ajst-10386	23	15	pinch	pinch	NOUN
ajst-10386	23	16	relation	relation	NOUN
ajst-10386	23	17	in	in	ADP
ajst-10386	23	18	the	the	DET
ajst-10386	23	19	figure1	figure1	PROPN
ajst-10386	23	20	,	,	PUNCT
ajst-10386	23	21	and	and	CCONJ
ajst-10386	23	22	the	the	DET
ajst-10386	23	23	matrix	matrix	NOUN
ajst-10386	23	24	a	a	PRON
ajst-10386	23	25	is	be	AUX
ajst-10386	23	26	as	as	SCONJ
ajst-10386	23	27	follows	follow	VERB
ajst-10386	23	28	:	:	PUNCT
ajst-10386	23	29	since	since	SCONJ
ajst-10386	23	30	α	α	X
ajst-10386	23	31	,	,	PUNCT
ajst-10386	23	32	β	β	NOUN
ajst-10386	23	33	,	,	PUNCT
ajst-10386	23	34	and	and	CCONJ
ajst-10386	23	35	γ	γ	NOUN
ajst-10386	23	36	are	be	AUX
ajst-10386	23	37	small	small	ADJ
ajst-10386	23	38	angles	angle	NOUN
ajst-10386	23	39	then	then	ADV
ajst-10386	23	40	it	it	PRON
ajst-10386	23	41	is	be	AUX
ajst-10386	23	42	known	know	VERB
ajst-10386	23	43	that	that	SCONJ
ajst-10386	23	44	cos(α	cos(α	PROPN
ajst-10386	23	45	)	)	PUNCT
ajst-10386	24	1	≈	≈	PROPN
ajst-10386	24	2	1	1	NUM
ajst-10386	24	3	,	,	PUNCT
ajst-10386	24	4	cos(β	cos(β	PROPN
ajst-10386	24	5	)	)	PUNCT
ajst-10386	25	1	≈	≈	PROPN
ajst-10386	25	2	1	1	NUM
ajst-10386	25	3	,	,	PUNCT
ajst-10386	25	4	cos(γ	cos(γ	PROPN
ajst-10386	25	5	)	)	PUNCT
ajst-10386	26	1	≈	≈	PROPN
ajst-10386	26	2	1	1	NUM
ajst-10386	26	3	,	,	PUNCT
ajst-10386	26	4	sin(α	sin(α	PROPN
ajst-10386	26	5	)	)	PUNCT
ajst-10386	27	1	≈	≈	PROPN
ajst-10386	27	2	α	α	PROPN
ajst-10386	27	3	,	,	PUNCT
ajst-10386	27	4	sin(β	sin(β	PROPN
ajst-10386	27	5	)	)	PUNCT
ajst-10386	28	1	≈	≈	PROPN
ajst-10386	28	2	β	β	PROPN
ajst-10386	28	3	,	,	PUNCT
ajst-10386	28	4	and	and	CCONJ
ajst-10386	28	5	sin(γ	sin(γ	NUM
ajst-10386	28	6	)	)	PUNCT
ajst-10386	29	1	≈	≈	PROPN
ajst-10386	29	2	γ	γ	PROPN
ajst-10386	29	3	.	.	PROPN
ajst-10386	30	1	then	then	ADV
ajst-10386	30	2	,	,	PUNCT
ajst-10386	30	3	the	the	DET
ajst-10386	30	4	a	a	DET
ajst-10386	30	5	-	-	PUNCT
ajst-10386	30	6	matrix	matrix	NOUN
ajst-10386	30	7	can	can	AUX
ajst-10386	30	8	be	be	AUX
ajst-10386	30	9	simplified	simplify	VERB
ajst-10386	30	10	as	as	SCONJ
ajst-10386	30	11	follows	follow	VERB
ajst-10386	30	12	:	:	PUNCT
ajst-10386	30	13	in	in	ADP
ajst-10386	30	14	the	the	DET
ajst-10386	30	15	ideal	ideal	ADJ
ajst-10386	30	16	case	case	NOUN
ajst-10386	30	17	,	,	PUNCT
ajst-10386	30	18	when	when	SCONJ
ajst-10386	30	19	the	the	DET
ajst-10386	30	20	measured	measure	VERB
ajst-10386	30	21	magnetic	magnetic	ADJ
ajst-10386	30	22	field	field	NOUN
ajst-10386	30	23	meets	meet	VERB
ajst-10386	30	24	the	the	DET
ajst-10386	30	25	three	three	NUM
ajst-10386	30	26	components	component	NOUN
ajst-10386	30	27	are	be	AUX
ajst-10386	30	28	equal	equal	ADJ
ajst-10386	30	29	,	,	PUNCT
ajst-10386	30	30	if	if	SCONJ
ajst-10386	30	31	the	the	DET
ajst-10386	30	32	magnetic	magnetic	ADJ
ajst-10386	30	33	sensor	sensor	NOUN
ajst-10386	30	34	threeaxis	threeaxi	VERB
ajst-10386	30	35	sensitivity	sensitivity	NOUN
ajst-10386	30	36	element	element	NOUN
ajst-10386	30	37	sensitivity	sensitivity	NOUN
ajst-10386	30	38	is	be	AUX
ajst-10386	30	39	the	the	DET
ajst-10386	30	40	same	same	ADJ
ajst-10386	30	41	,	,	PUNCT
ajst-10386	30	42	then	then	ADV
ajst-10386	30	43	the	the	DET
ajst-10386	30	44	three	three	NUM
ajst-10386	30	45	components	component	NOUN
ajst-10386	30	46	should	should	AUX
ajst-10386	30	47	be	be	AUX
ajst-10386	30	48	measured	measure	VERB
ajst-10386	30	49	equal	equal	ADJ
ajst-10386	30	50	output	output	NOUN
ajst-10386	30	51	;	;	PUNCT
ajst-10386	30	52	however	however	ADV
ajst-10386	30	53	,	,	PUNCT
ajst-10386	30	54	due	due	ADP
ajst-10386	30	55	to	to	ADP
ajst-10386	30	56	the	the	DET
ajst-10386	30	57	sensor	sensor	NOUN
ajst-10386	30	58	technology	technology	NOUN
ajst-10386	30	59	limitations	limitation	NOUN
ajst-10386	30	60	,	,	PUNCT
ajst-10386	30	61	often	often	ADV
ajst-10386	30	62	the	the	DET
ajst-10386	30	63	three	three	NUM
ajst-10386	30	64	-	-	PUNCT
ajst-10386	30	65	axis	axis	NOUN
ajst-10386	30	66	sensitivity	sensitivity	NOUN
ajst-10386	30	67	element	element	NOUN
ajst-10386	30	68	does	do	AUX
ajst-10386	30	69	not	not	PART
ajst-10386	30	70	have	have	VERB
ajst-10386	30	71	the	the	DET
ajst-10386	30	72	same	same	ADJ
ajst-10386	30	73	sensitivity	sensitivity	NOUN
ajst-10386	30	74	,	,	PUNCT
ajst-10386	30	75	which	which	PRON
ajst-10386	30	76	leads	lead	VERB
ajst-10386	30	77	to	to	ADP
ajst-10386	30	78	differences	difference	NOUN
ajst-10386	30	79	in	in	ADP
ajst-10386	30	80	the	the	DET
ajst-10386	30	81	output	output	NOUN
ajst-10386	30	82	value	value	NOUN
ajst-10386	30	83	of	of	ADP
ajst-10386	30	84	each	each	DET
ajst-10386	30	85	axis	axis	NOUN
ajst-10386	30	86	.	.	PUNCT
ajst-10386	31	1	then	then	ADV
ajst-10386	31	2	there	there	PRON
ajst-10386	31	3	is	be	VERB
ajst-10386	31	4	the	the	DET
ajst-10386	31	5	following	follow	VERB
ajst-10386	31	6	scale	scale	NOUN
ajst-10386	31	7	factor	factor	NOUN
ajst-10386	31	8	error	error	NOUN
ajst-10386	31	9	matrix	matrix	NOUN
ajst-10386	31	10	k	k	NOUN
ajst-10386	31	11	:	:	PUNCT
ajst-10386	31	12	theoretically	theoretically	ADV
ajst-10386	31	13	,	,	PUNCT
ajst-10386	31	14	under	under	ADP
ajst-10386	31	15	the	the	DET
ajst-10386	31	16	ideal	ideal	ADJ
ajst-10386	31	17	non	non	ADJ
ajst-10386	31	18	-	-	ADJ
ajst-10386	31	19	magnetic	magnetic	ADJ
ajst-10386	31	20	environment	environment	NOUN
ajst-10386	31	21	,	,	PUNCT
ajst-10386	31	22	the	the	DET
ajst-10386	31	23	measured	measured	ADJ
ajst-10386	31	24	value	value	NOUN
ajst-10386	31	25	of	of	ADP
ajst-10386	31	26	the	the	DET
ajst-10386	31	27	three	three	NUM
ajst-10386	31	28	-	-	PUNCT
ajst-10386	31	29	axis	axis	NOUN
ajst-10386	31	30	fluxgate	fluxgate	NOUN
ajst-10386	31	31	sensor	sensor	NOUN
ajst-10386	31	32	should	should	AUX
ajst-10386	31	33	be	be	AUX
ajst-10386	31	34	zero	zero	NUM
ajst-10386	31	35	.	.	PUNCT
ajst-10386	32	1	however	however	ADV
ajst-10386	32	2	,	,	PUNCT
ajst-10386	32	3	in	in	ADP
ajst-10386	32	4	practice	practice	NOUN
ajst-10386	32	5	there	there	PRON
ajst-10386	32	6	is	be	VERB
ajst-10386	32	7	residual	residual	ADJ
ajst-10386	32	8	magnetism	magnetism	NOUN
ajst-10386	32	9	in	in	ADP
ajst-10386	32	10	the	the	DET
ajst-10386	32	11	core	core	NOUN
ajst-10386	32	12	of	of	ADP
ajst-10386	32	13	the	the	DET
ajst-10386	32	14	fluxgate	fluxgate	NOUN
ajst-10386	32	15	and	and	CCONJ
ajst-10386	32	16	there	there	PRON
ajst-10386	32	17	are	be	VERB
ajst-10386	32	18	problems	problem	NOUN
ajst-10386	32	19	such	such	ADJ
ajst-10386	32	20	as	as	ADP
ajst-10386	32	21	circuit	circuit	NOUN
ajst-10386	32	22	drift	drift	NOUN
ajst-10386	32	23	,	,	PUNCT
ajst-10386	32	24	which	which	PRON
ajst-10386	32	25	results	result	VERB
ajst-10386	32	26	in	in	ADP
ajst-10386	32	27	the	the	DET
ajst-10386	32	28	sensor	sensor	NOUN
ajst-10386	32	29	's	's	PART
ajst-10386	32	30	three	three	NUM
ajst-10386	32	31	-	-	PUNCT
ajst-10386	32	32	component	component	NOUN
ajst-10386	32	33	output	output	NOUN
ajst-10386	32	34	not	not	PART
ajst-10386	32	35	being	be	AUX
ajst-10386	32	36	zero	zero	NUM
ajst-10386	32	37	,	,	PUNCT
ajst-10386	32	38	and	and	CCONJ
ajst-10386	32	39	there	there	PRON
ajst-10386	32	40	is	be	VERB
ajst-10386	32	41	a	a	DET
ajst-10386	32	42	zero	zero	NUM
ajst-10386	32	43	output	output	NOUN
ajst-10386	32	44	bias	bias	NOUN
ajst-10386	32	45	.	.	PUNCT
ajst-10386	33	1	then	then	ADV
ajst-10386	33	2	there	there	PRON
ajst-10386	33	3	is	be	VERB
ajst-10386	33	4	a	a	DET
ajst-10386	33	5	zero	zero	NUM
ajst-10386	33	6	bias	bias	NOUN
ajst-10386	33	7	error	error	NOUN
ajst-10386	33	8	matrix	matrix	NOUN
ajst-10386	33	9	b	b	NOUN
ajst-10386	33	10	as	as	SCONJ
ajst-10386	33	11	follows	follow	VERB
ajst-10386	33	12	:	:	PUNCT
ajst-10386	33	13	from	from	ADP
ajst-10386	33	14	the	the	DET
ajst-10386	33	15	above	above	ADJ
ajst-10386	33	16	analysis	analysis	NOUN
ajst-10386	33	17	,	,	PUNCT
ajst-10386	33	18	if	if	SCONJ
ajst-10386	33	19	the	the	DET
ajst-10386	33	20	magnetic	magnetic	ADJ
ajst-10386	33	21	sensor	sensor	NOUN
ajst-10386	33	22	measurement	measurement	NOUN
ajst-10386	33	23	is	be	AUX
ajst-10386	33	24	b1=[bx1	b1=[bx1	VERB
ajst-10386	33	25	by1	by1	ADV
ajst-10386	33	26	bz1]t	bz1]t	ADJ
ajst-10386	33	27	and	and	CCONJ
ajst-10386	33	28	there	there	PRON
ajst-10386	33	29	is	be	VERB
ajst-10386	33	30	also	also	ADV
ajst-10386	33	31	gaussian	gaussian	ADJ
ajst-10386	33	32	noise	noise	NOUN
ajst-10386	33	33	with	with	ADP
ajst-10386	33	34	mean	mean	NOUN
ajst-10386	33	35	0	0	NUM
ajst-10386	33	36	variance	variance	NOUN
ajst-10386	33	37	σ[8	σ[8	NOUN
ajst-10386	33	38	]	]	PUNCT
ajst-10386	33	39	in	in	ADP
ajst-10386	33	40	the	the	DET
ajst-10386	33	41	process	process	NOUN
ajst-10386	33	42	ε	ε	PROPN
ajst-10386	33	43	,	,	PUNCT
ajst-10386	33	44	the	the	DET
ajst-10386	33	45	following	follow	VERB
ajst-10386	33	46	relation	relation	NOUN
ajst-10386	33	47	can	can	AUX
ajst-10386	33	48	be	be	AUX
ajst-10386	33	49	obtained	obtain	VERB
ajst-10386	33	50	:	:	PUNCT
ajst-10386	33	51	(	(	PUNCT
ajst-10386	33	52	1	1	X
ajst-10386	33	53	)	)	PUNCT
ajst-10386	33	54	2.2	2.2	NUM
ajst-10386	33	55	.	.	PUNCT
ajst-10386	34	1	parameter	parameter	NOUN
ajst-10386	34	2	estimation	estimation	NOUN
ajst-10386	34	3	after	after	ADP
ajst-10386	34	4	obtaining	obtain	VERB
ajst-10386	34	5	the	the	DET
ajst-10386	34	6	relation	relation	NOUN
ajst-10386	34	7	(	(	PUNCT
ajst-10386	34	8	1	1	NUM
ajst-10386	34	9	)	)	PUNCT
ajst-10386	34	10	,	,	PUNCT
ajst-10386	34	11	it	it	PRON
ajst-10386	34	12	is	be	AUX
ajst-10386	34	13	known	know	VERB
ajst-10386	34	14	that	that	SCONJ
ajst-10386	34	15	there	there	PRON
ajst-10386	34	16	are	be	VERB
ajst-10386	34	17	a	a	DET
ajst-10386	34	18	total	total	NOUN
ajst-10386	34	19	of	of	ADP
ajst-10386	34	20	9	9	NUM
ajst-10386	34	21	parameters	parameter	NOUN
ajst-10386	34	22	to	to	PART
ajst-10386	34	23	be	be	AUX
ajst-10386	34	24	estimated	estimate	VERB
ajst-10386	34	25	,	,	PUNCT
ajst-10386	34	26	which	which	PRON
ajst-10386	34	27	can	can	AUX
ajst-10386	34	28	be	be	AUX
ajst-10386	34	29	expressed	express	VERB
ajst-10386	34	30	as	as	ADP
ajst-10386	34	31	:	:	PUNCT
ajst-10386	34	32	(	(	PUNCT
ajst-10386	34	33	2	2	X
ajst-10386	34	34	)	)	PUNCT
ajst-10386	34	35	xk	xk	PROPN
ajst-10386	34	36	is	be	AUX
ajst-10386	34	37	the	the	DET
ajst-10386	34	38	parameter	parameter	NOUN
ajst-10386	34	39	estimated	estimate	VERB
ajst-10386	34	40	at	at	ADP
ajst-10386	34	41	k	k	PROPN
ajst-10386	34	42	moments	moment	NOUN
ajst-10386	34	43	,	,	PUNCT
ajst-10386	34	44	b2k	b2k	PROPN
ajst-10386	34	45	and	and	CCONJ
ajst-10386	34	46	bk	bk	PROPN
ajst-10386	34	47	are	be	AUX
ajst-10386	34	48	the	the	DET
ajst-10386	34	49	real	real	ADJ
ajst-10386	34	50	and	and	CCONJ
ajst-10386	34	51	ideal	ideal	ADJ
ajst-10386	34	52	values	value	NOUN
ajst-10386	34	53	measured	measure	VERB
ajst-10386	34	54	by	by	ADP
ajst-10386	34	55	the	the	DET
ajst-10386	34	56	three	three	NUM
ajst-10386	34	57	-	-	PUNCT
ajst-10386	34	58	axis	axis	NOUN
ajst-10386	34	59	sensors	sensor	NOUN
ajst-10386	34	60	at	at	ADP
ajst-10386	34	61	k	k	PROPN
ajst-10386	34	62	moments	moment	NOUN
ajst-10386	34	63	,	,	PUNCT
ajst-10386	34	64	respectively	respectively	ADV
ajst-10386	34	65	.	.	PUNCT
ajst-10386	35	1	using	use	VERB
ajst-10386	35	2	the	the	DET
ajst-10386	35	3	principle	principle	NOUN
ajst-10386	35	4	of	of	ADP
ajst-10386	35	5	invariance	invariance	NOUN
ajst-10386	35	6	of	of	ADP
ajst-10386	35	7	the	the	DET
ajst-10386	35	8	modal	modal	ADJ
ajst-10386	35	9	value	value	NOUN
ajst-10386	35	10	of	of	ADP
ajst-10386	35	11	the	the	DET
ajst-10386	35	12	geomagnetic	geomagnetic	ADJ
ajst-10386	35	13	field	field	NOUN
ajst-10386	35	14	at	at	ADP
ajst-10386	35	15	the	the	DET
ajst-10386	35	16	measurement	measurement	NOUN
ajst-10386	35	17	point	point	NOUN
ajst-10386	35	18	,	,	PUNCT
ajst-10386	35	19	combined	combine	VERB
ajst-10386	35	20	with	with	ADP
ajst-10386	35	21	the	the	DET
ajst-10386	35	22	extended	extended	ADJ
ajst-10386	35	23	kalman	kalman	NOUN
ajst-10386	35	24	filtering	filter	VERB
ajst-10386	35	25	the	the	DET
ajst-10386	35	26	state	state	NOUN
ajst-10386	35	27	equations	equation	NOUN
ajst-10386	35	28	and	and	CCONJ
ajst-10386	35	29	observation	observation	NOUN
ajst-10386	35	30	equations	equation	NOUN
ajst-10386	35	31	of	of	ADP
ajst-10386	35	32	the	the	DET
ajst-10386	35	33	system	system	NOUN
ajst-10386	35	34	can	can	AUX
ajst-10386	35	35	be	be	AUX
ajst-10386	35	36	obtained	obtain	VERB
ajst-10386	35	37	as	as	ADP
ajst-10386	35	38	:	:	PUNCT
ajst-10386	35	39	(	(	PUNCT
ajst-10386	35	40	3	3	X
ajst-10386	35	41	)	)	PUNCT
ajst-10386	35	42	(	(	PUNCT
ajst-10386	35	43	4	4	X
ajst-10386	35	44	)	)	PUNCT
ajst-10386	35	45	then	then	ADV
ajst-10386	35	46	the	the	DET
ajst-10386	35	47	calibration	calibration	NOUN
ajst-10386	35	48	model	model	NOUN
ajst-10386	35	49	is	be	AUX
ajst-10386	35	50	:	:	PUNCT
ajst-10386	35	51	(	(	PUNCT
ajst-10386	35	52	5	5	X
ajst-10386	35	53	)	)	PUNCT
ajst-10386	35	54	the	the	DET
ajst-10386	35	55	mean	mean	ADJ
ajst-10386	35	56	µ	µ	NOUN
ajst-10386	35	57	and	and	CCONJ
ajst-10386	35	58	variance	variance	NOUN
ajst-10386	35	59	of	of	ADP
ajst-10386	35	60	v(k	v(k	NOUN
ajst-10386	35	61	)	)	PUNCT
ajst-10386	35	62	in	in	ADP
ajst-10386	35	63	equation	equation	NOUN
ajst-10386	35	64	(	(	PUNCT
ajst-10386	35	65	5	5	NUM
ajst-10386	35	66	)	)	PUNCT
ajst-10386	35	67	are	be	AUX
ajst-10386	35	68	as	as	SCONJ
ajst-10386	35	69	follows	follow	VERB
ajst-10386	35	70	:	:	PUNCT
ajst-10386	35	71	since	since	SCONJ
ajst-10386	35	72	z(k	z(k	PROPN
ajst-10386	35	73	)	)	PUNCT
ajst-10386	35	74	is	be	AUX
ajst-10386	35	75	a	a	DET
ajst-10386	35	76	second	second	ADJ
ajst-10386	35	77	-	-	PUNCT
ajst-10386	35	78	order	order	NOUN
ajst-10386	35	79	system	system	NOUN
ajst-10386	35	80	with	with	ADP
ajst-10386	35	81	respect	respect	NOUN
ajst-10386	35	82	to	to	ADP
ajst-10386	35	83	x(k	x(k	NOUN
ajst-10386	35	84	)	)	PUNCT
ajst-10386	35	85	,	,	PUNCT
ajst-10386	36	1	so	so	SCONJ
ajst-10386	36	2	so	so	ADV
ajst-10386	36	3	the	the	DET
ajst-10386	36	4	second	second	ADJ
ajst-10386	36	5	-	-	PUNCT
ajst-10386	36	6	order	order	NOUN
ajst-10386	36	7	h(k	h(k	NOUN
ajst-10386	36	8	)	)	PUNCT
ajst-10386	36	9	is	be	AUX
ajst-10386	36	10	converted	convert	VERB
ajst-10386	36	11	to	to	ADP
ajst-10386	36	12	first	first	ADJ
ajst-10386	36	13	-	-	PUNCT
ajst-10386	36	14	order	order	NOUN
ajst-10386	36	15	h(k	h(k	NOUN
ajst-10386	36	16	)	)	PUNCT
ajst-10386	36	17	using	use	VERB
ajst-10386	36	18	extended	extended	ADJ
ajst-10386	36	19	kalman	kalman	NOUN
ajst-10386	36	20	filtering	filtering	NOUN
ajst-10386	36	21	,	,	PUNCT
ajst-10386	36	22	and	and	CCONJ
ajst-10386	36	23	then	then	ADV
ajst-10386	36	24	the	the	DET
ajst-10386	36	25	equations	equation	NOUN
ajst-10386	36	26	for	for	ADP
ajst-10386	36	27	the	the	DET
ajst-10386	36	28	state	state	NOUN
ajst-10386	36	29	estimation	estimation	NOUN
ajst-10386	36	30	and	and	CCONJ
ajst-10386	36	31	state	state	NOUN
ajst-10386	36	32	prediction	prediction	NOUN
ajst-10386	36	33	parts	part	NOUN
ajst-10386	36	34	are	be	AUX
ajst-10386	36	35	written	write	VERB
ajst-10386	36	36	.	.	PUNCT
ajst-10386	37	1	state	state	NOUN
ajst-10386	37	2	prediction	prediction	NOUN
ajst-10386	37	3	:	:	PUNCT
ajst-10386	37	4	state	state	NOUN
ajst-10386	37	5	estimation	estimation	NOUN
ajst-10386	37	6	:	:	PUNCT
ajst-10386	37	7	the	the	DET
ajst-10386	37	8	process	process	NOUN
ajst-10386	37	9	of	of	ADP
ajst-10386	37	10	calibrating	calibrate	VERB
ajst-10386	37	11	a	a	DET
ajst-10386	37	12	three	three	NUM
ajst-10386	37	13	-	-	PUNCT
ajst-10386	37	14	axis	axis	NOUN
ajst-10386	37	15	fluxgate	fluxgate	NOUN
ajst-10386	37	16	sensor	sensor	NOUN
ajst-10386	37	17	using	use	VERB
ajst-10386	37	18	extended	extended	ADJ
ajst-10386	37	19	kalman	kalman	NOUN
ajst-10386	37	20	filtering	filtering	NOUN
ajst-10386	37	21	is	be	AUX
ajst-10386	37	22	complete	complete	ADJ
ajst-10386	37	23	by	by	ADP
ajst-10386	37	24	bringing	bring	VERB
ajst-10386	37	25	the	the	DET
ajst-10386	37	26	initial	initial	ADJ
ajst-10386	37	27	values	value	NOUN
ajst-10386	37	28	of	of	ADP
ajst-10386	37	29	the	the	DET
ajst-10386	37	30	set	set	ADJ
ajst-10386	37	31	state	state	NOUN
ajst-10386	37	32	quantities	quantity	NOUN
ajst-10386	37	33	and	and	CCONJ
ajst-10386	37	34	covariance	covariance	NOUN
ajst-10386	37	35	matrix	matrix	NOUN
ajst-10386	37	36	as	as	ADV
ajst-10386	37	37	well	well	ADV
ajst-10386	37	38	as	as	ADP
ajst-10386	37	39	the	the	DET
ajst-10386	37	40	data	datum	NOUN
ajst-10386	37	41	into	into	ADP
ajst-10386	37	42	the	the	DET
ajst-10386	37	43	above	above	ADJ
ajst-10386	37	44	equation	equation	NOUN
ajst-10386	37	45	to	to	PART
ajst-10386	37	46	obtain	obtain	VERB
ajst-10386	37	47	the	the	DET
ajst-10386	37	48	calibrated	calibrate	VERB
ajst-10386	37	49	parameters	parameter	NOUN
ajst-10386	37	50	.	.	PUNCT
ajst-10386	38	1	3	3	X
ajst-10386	38	2	.	.	X
ajst-10386	38	3	simulation	simulation	NOUN
ajst-10386	38	4	and	and	CCONJ
ajst-10386	38	5	experiment	experiment	NOUN
ajst-10386	38	6	3.1	3.1	NUM
ajst-10386	38	7	.	.	PUNCT
ajst-10386	39	1	simulation	simulation	NOUN
ajst-10386	39	2	simulation	simulation	NOUN
ajst-10386	39	3	experiments	experiment	NOUN
ajst-10386	39	4	are	be	AUX
ajst-10386	39	5	carried	carry	VERB
ajst-10386	39	6	out	out	ADP
ajst-10386	39	7	after	after	ADP
ajst-10386	39	8	completing	complete	VERB
ajst-10386	39	9	the	the	DET
ajst-10386	39	10	error	error	NOUN
ajst-10386	39	11	modeling	modeling	NOUN
ajst-10386	39	12	of	of	ADP
ajst-10386	39	13	the	the	DET
ajst-10386	39	14	triaxial	triaxial	ADJ
ajst-10386	39	15	fluxgate	fluxgate	NOUN
ajst-10386	39	16	sensor	sensor	NOUN
ajst-10386	39	17	.	.	PUNCT
ajst-10386	40	1	in	in	ADP
ajst-10386	40	2	the	the	DET
ajst-10386	40	3	simulation	simulation	NOUN
ajst-10386	40	4	session	session	NOUN
ajst-10386	40	5	,	,	PUNCT
ajst-10386	40	6	the	the	DET
ajst-10386	40	7	geomagnetic	geomagnetic	ADJ
ajst-10386	40	8	field	field	NOUN
ajst-10386	40	9	is	be	AUX
ajst-10386	40	10	set	set	VERB
ajst-10386	40	11	to	to	PART
ajst-10386	40	12	be	be	AUX
ajst-10386	40	13	constant	constant	ADJ
ajst-10386	40	14	and	and	CCONJ
ajst-10386	40	15	unchanged	unchanged	ADJ
ajst-10386	40	16	at	at	ADP
ajst-10386	40	17	5×105nt	5×105nt	NUM
ajst-10386	40	18	,	,	PUNCT
ajst-10386	40	19	and	and	CCONJ
ajst-10386	40	20	80	80	NUM
ajst-10386	40	21	sets	set	NOUN
ajst-10386	40	22	of	of	ADP
ajst-10386	40	23	data	datum	NOUN
ajst-10386	40	24	with	with	ADP
ajst-10386	40	25	different	different	ADJ
ajst-10386	40	26	attitudes	attitude	NOUN
ajst-10386	40	27	are	be	AUX
ajst-10386	40	28	obtained	obtain	VERB
ajst-10386	40	29	by	by	ADP
ajst-10386	40	30	rotating	rotate	VERB
ajst-10386	40	31	the	the	DET
ajst-10386	40	32	three	three	NUM
ajst-10386	40	33	-	-	PUNCT
ajst-10386	40	34	axis	axis	NOUN
ajst-10386	40	35	fluxgate	fluxgate	NOUN
ajst-10386	40	36	sensor	sensor	NOUN
ajst-10386	40	37	after	after	ADP
ajst-10386	40	38	adding	add	VERB
ajst-10386	40	39	the	the	DET
ajst-10386	40	40	error	error	NOUN
ajst-10386	40	41	,	,	PUNCT
ajst-10386	40	42	and	and	CCONJ
ajst-10386	40	43	gaussian	gaussian	ADJ
ajst-10386	40	44	noise	noise	NOUN
ajst-10386	40	45	2	2	NUM
ajst-10386	40	46	k	k	NOUN
ajst-10386	40	47	75	75	NUM
ajst-10386	40	48	with	with	ADP
ajst-10386	40	49	a	a	DET
ajst-10386	40	50	mean	mean	NOUN
ajst-10386	40	51	of	of	ADP
ajst-10386	40	52	0	0	NUM
ajst-10386	40	53	and	and	CCONJ
ajst-10386	40	54	a	a	DET
ajst-10386	40	55	variance	variance	NOUN
ajst-10386	40	56	of	of	ADP
ajst-10386	40	57	1	1	NUM
ajst-10386	40	58	is	be	AUX
ajst-10386	40	59	added	add	VERB
ajst-10386	40	60	to	to	ADP
ajst-10386	40	61	the	the	DET
ajst-10386	40	62	sensor	sensor	NOUN
ajst-10386	40	63	's	's	PART
ajst-10386	40	64	three	three	NUM
ajst-10386	40	65	-	-	PUNCT
ajst-10386	40	66	component	component	NOUN
ajst-10386	40	67	error	error	NOUN
ajst-10386	40	68	data	datum	NOUN
ajst-10386	40	69	,	,	PUNCT
ajst-10386	40	70	and	and	CCONJ
ajst-10386	40	71	the	the	DET
ajst-10386	40	72	set	set	NOUN
ajst-10386	40	73	parameters	parameter	NOUN
ajst-10386	40	74	are	be	AUX
ajst-10386	40	75	shown	show	VERB
ajst-10386	40	76	in	in	ADP
ajst-10386	40	77	table	table	NOUN
ajst-10386	40	78	1	1	NUM
ajst-10386	40	79	.	.	PUNCT
ajst-10386	41	1	the	the	DET
ajst-10386	41	2	parameters	parameter	NOUN
ajst-10386	41	3	obtained	obtain	VERB
ajst-10386	41	4	by	by	ADP
ajst-10386	41	5	estimating	estimate	VERB
ajst-10386	41	6	the	the	DET
ajst-10386	41	7	simulated	simulate	VERB
ajst-10386	41	8	data	datum	NOUN
ajst-10386	41	9	after	after	ADP
ajst-10386	41	10	substituting	substitute	VERB
ajst-10386	41	11	kalman	kalman	NOUN
ajst-10386	41	12	filter	filter	NOUN
ajst-10386	41	13	are	be	AUX
ajst-10386	41	14	shown	show	VERB
ajst-10386	41	15	in	in	ADP
ajst-10386	41	16	table	table	NOUN
ajst-10386	41	17	1	1	NUM
ajst-10386	41	18	.	.	PUNCT
ajst-10386	41	19	table	table	NOUN
ajst-10386	41	20	1	1	NUM
ajst-10386	41	21	.	.	PUNCT
ajst-10386	41	22	comparison	comparison	NOUN
ajst-10386	41	23	of	of	ADP
ajst-10386	41	24	set	set	NOUN
ajst-10386	41	25	and	and	CCONJ
ajst-10386	41	26	predicted	predict	VERB
ajst-10386	41	27	values	value	NOUN
ajst-10386	41	28	of	of	ADP
ajst-10386	41	29	parameters	parameter	NOUN
ajst-10386	41	30	in	in	ADP
ajst-10386	41	31	simulation	simulation	NOUN
ajst-10386	41	32	non	non	ADJ
ajst-10386	41	33	-	-	ADJ
ajst-10386	41	34	orthogonal	orthogonal	ADJ
ajst-10386	41	35	(	(	PUNCT
ajst-10386	41	36	°	°	ADJ
ajst-10386	41	37	)	)	PUNCT
ajst-10386	41	38	scale	scale	NOUN
ajst-10386	41	39	factor	factor	NOUN
ajst-10386	41	40	zero	zero	NUM
ajst-10386	41	41	deviation(nt	deviation(nt	NOUN
ajst-10386	41	42	)	)	PUNCT
ajst-10386	41	43	x	x	NOUN
ajst-10386	41	44	-	-	NOUN
ajst-10386	41	45	axis	axis	ADJ
ajst-10386	41	46	y	y	NOUN
ajst-10386	41	47	-	-	PUNCT
ajst-10386	41	48	axis	axis	NOUN
ajst-10386	41	49	z	z	NOUN
ajst-10386	41	50	-	-	PUNCT
ajst-10386	41	51	axis	axis	NOUN
ajst-10386	41	52	x	x	ADJ
ajst-10386	41	53	-	-	ADJ
ajst-10386	41	54	axis	axis	ADJ
ajst-10386	41	55	y	y	NOUN
ajst-10386	41	56	-	-	PUNCT
ajst-10386	41	57	axis	axis	NOUN
ajst-10386	41	58	z	z	NOUN
ajst-10386	41	59	-	-	PUNCT
ajst-10386	41	60	axis	axis	NOUN
ajst-10386	41	61	x	x	ADJ
ajst-10386	41	62	-	-	ADJ
ajst-10386	41	63	axis	axis	ADJ
ajst-10386	41	64	y	y	NOUN
ajst-10386	41	65	-	-	PUNCT
ajst-10386	41	66	axis	axis	ADJ
ajst-10386	41	67	z	z	NOUN
ajst-10386	41	68	-	-	PUNCT
ajst-10386	41	69	axis	axis	NOUN
ajst-10386	41	70	simulation	simulation	NOUN
ajst-10386	41	71	presets	preset	NOUN
ajst-10386	41	72	0.15	0.15	NUM
ajst-10386	41	73	0.08	0.08	NUM
ajst-10386	41	74	-0.03	-0.03	NUM
ajst-10386	41	75	1.002	1.002	NUM
ajst-10386	41	76	1.001	1.001	NUM
ajst-10386	41	77	0.998	0.998	NUM
ajst-10386	41	78	53	53	NUM
ajst-10386	41	79	26	26	NUM
ajst-10386	41	80	81	81	NUM
ajst-10386	41	81	simulation	simulation	NOUN
ajst-10386	41	82	estimates	estimate	VERB
ajst-10386	41	83	0.1501	0.1501	NUM
ajst-10386	41	84	0.08	0.08	NUM
ajst-10386	41	85	-0.03	-0.03	NUM
ajst-10386	41	86	1.002	1.002	NUM
ajst-10386	41	87	1.001	1.001	NUM
ajst-10386	41	88	0.998	0.998	NUM
ajst-10386	41	89	48.9444	48.9444	NUM
ajst-10386	41	90	25.9507	25.9507	NUM
ajst-10386	41	91	81.3939	81.3939	NUM
ajst-10386	41	92	table	table	NOUN
ajst-10386	41	93	1	1	NUM
ajst-10386	41	94	shows	show	VERB
ajst-10386	41	95	that	that	SCONJ
ajst-10386	41	96	the	the	DET
ajst-10386	41	97	parameter	parameter	NOUN
ajst-10386	41	98	values	value	NOUN
ajst-10386	41	99	set	set	VERB
ajst-10386	41	100	in	in	ADP
ajst-10386	41	101	the	the	DET
ajst-10386	41	102	simulation	simulation	NOUN
ajst-10386	41	103	are	be	AUX
ajst-10386	41	104	very	very	ADV
ajst-10386	41	105	close	close	ADJ
ajst-10386	41	106	to	to	ADP
ajst-10386	41	107	the	the	DET
ajst-10386	41	108	estimated	estimate	VERB
ajst-10386	41	109	values	value	NOUN
ajst-10386	41	110	.	.	PUNCT
ajst-10386	42	1	figure	figure	NOUN
ajst-10386	42	2	2	2	NUM
ajst-10386	42	3	shows	show	VERB
ajst-10386	42	4	the	the	DET
ajst-10386	42	5	comparison	comparison	NOUN
ajst-10386	42	6	of	of	ADP
ajst-10386	42	7	the	the	DET
ajst-10386	42	8	modal	modal	ADJ
ajst-10386	42	9	values	value	NOUN
ajst-10386	42	10	before	before	ADP
ajst-10386	42	11	and	and	CCONJ
ajst-10386	42	12	after	after	ADP
ajst-10386	42	13	the	the	DET
ajst-10386	42	14	kalman	kalman	PROPN
ajst-10386	42	15	filter	filter	NOUN
ajst-10386	42	16	correction	correction	NOUN
ajst-10386	42	17	.	.	PUNCT
ajst-10386	43	1	before	before	ADP
ajst-10386	43	2	the	the	DET
ajst-10386	43	3	correction	correction	NOUN
ajst-10386	43	4	,	,	PUNCT
ajst-10386	43	5	the	the	DET
ajst-10386	43	6	modal	modal	ADJ
ajst-10386	43	7	values	value	NOUN
ajst-10386	43	8	of	of	ADP
ajst-10386	43	9	the	the	DET
ajst-10386	43	10	three	three	NUM
ajst-10386	43	11	-	-	PUNCT
ajst-10386	43	12	axis	axis	NOUN
ajst-10386	43	13	sensors	sensor	NOUN
ajst-10386	43	14	fluctuated	fluctuate	VERB
ajst-10386	43	15	greatly	greatly	ADV
ajst-10386	43	16	,	,	PUNCT
ajst-10386	43	17	and	and	CCONJ
ajst-10386	43	18	the	the	DET
ajst-10386	43	19	average	average	ADJ
ajst-10386	43	20	error	error	NOUN
ajst-10386	43	21	was	be	AUX
ajst-10386	43	22	as	as	ADV
ajst-10386	43	23	high	high	ADJ
ajst-10386	43	24	as	as	ADP
ajst-10386	43	25	1471nt	1471nt	NOUN
ajst-10386	43	26	,	,	PUNCT
ajst-10386	43	27	and	and	CCONJ
ajst-10386	43	28	after	after	SCONJ
ajst-10386	43	29	the	the	DET
ajst-10386	43	30	correction	correction	NOUN
ajst-10386	43	31	was	be	AUX
ajst-10386	43	32	completed	complete	VERB
ajst-10386	43	33	,	,	PUNCT
ajst-10386	43	34	the	the	DET
ajst-10386	43	35	modal	modal	ADJ
ajst-10386	43	36	value	value	NOUN
ajst-10386	43	37	error	error	NOUN
ajst-10386	43	38	was	be	AUX
ajst-10386	43	39	reduced	reduce	VERB
ajst-10386	43	40	to	to	ADP
ajst-10386	43	41	1.232nt	1.232nt	NOUN
ajst-10386	43	42	,	,	PUNCT
ajst-10386	43	43	which	which	PRON
ajst-10386	43	44	can	can	AUX
ajst-10386	43	45	be	be	AUX
ajst-10386	43	46	found	find	VERB
ajst-10386	43	47	that	that	SCONJ
ajst-10386	43	48	the	the	DET
ajst-10386	43	49	algorithm	algorithm	NOUN
ajst-10386	43	50	is	be	AUX
ajst-10386	43	51	really	really	ADV
ajst-10386	43	52	effective	effective	ADJ
ajst-10386	43	53	in	in	ADP
ajst-10386	43	54	the	the	DET
ajst-10386	43	55	simulation	simulation	NOUN
ajst-10386	43	56	session	session	NOUN
ajst-10386	43	57	.	.	PUNCT
ajst-10386	44	1	figure	figure	NOUN
ajst-10386	44	2	2	2	NUM
ajst-10386	44	3	.	.	NOUN
ajst-10386	44	4	comparison	comparison	NOUN
ajst-10386	44	5	between	between	ADP
ajst-10386	44	6	before	before	ADP
ajst-10386	44	7	and	and	CCONJ
ajst-10386	44	8	after	after	ADP
ajst-10386	44	9	modulus	modulus	ADJ
ajst-10386	44	10	correction	correction	NOUN
ajst-10386	44	11	in	in	ADP
ajst-10386	44	12	simulation	simulation	NOUN
ajst-10386	44	13	3.2	3.2	NUM
ajst-10386	44	14	.	.	PUNCT
ajst-10386	45	1	experiment	experiment	NOUN
ajst-10386	45	2	after	after	ADP
ajst-10386	45	3	verifying	verify	VERB
ajst-10386	45	4	the	the	DET
ajst-10386	45	5	validity	validity	NOUN
ajst-10386	45	6	of	of	ADP
ajst-10386	45	7	the	the	DET
ajst-10386	45	8	kalman	kalman	PROPN
ajst-10386	45	9	filter	filter	NOUN
ajst-10386	45	10	in	in	ADP
ajst-10386	45	11	the	the	DET
ajst-10386	45	12	simulation	simulation	NOUN
ajst-10386	45	13	session	session	NOUN
ajst-10386	45	14	the	the	DET
ajst-10386	45	15	experiment	experiment	NOUN
ajst-10386	45	16	was	be	AUX
ajst-10386	45	17	carried	carry	VERB
ajst-10386	45	18	out	out	ADP
ajst-10386	45	19	in	in	ADP
ajst-10386	45	20	the	the	DET
ajst-10386	45	21	field	field	NOUN
ajst-10386	45	22	,	,	PUNCT
ajst-10386	45	23	the	the	DET
ajst-10386	45	24	experiment	experiment	NOUN
ajst-10386	45	25	used	use	VERB
ajst-10386	45	26	a	a	DET
ajst-10386	45	27	certain	certain	ADJ
ajst-10386	45	28	three	three	NUM
ajst-10386	45	29	-	-	PUNCT
ajst-10386	45	30	axis	axis	NOUN
ajst-10386	45	31	fluxgate	fluxgate	NOUN
ajst-10386	45	32	sensor	sensor	NOUN
ajst-10386	45	33	,	,	PUNCT
ajst-10386	45	34	which	which	PRON
ajst-10386	45	35	rotated	rotate	VERB
ajst-10386	45	36	on	on	ADP
ajst-10386	45	37	a	a	DET
ajst-10386	45	38	non	non	ADJ
ajst-10386	45	39	-	-	ADJ
ajst-10386	45	40	magnetic	magnetic	ADJ
ajst-10386	45	41	rotary	rotary	NOUN
ajst-10386	45	42	table	table	NOUN
ajst-10386	45	43	to	to	PART
ajst-10386	45	44	get	get	VERB
ajst-10386	45	45	40	40	NUM
ajst-10386	45	46	sets	set	NOUN
ajst-10386	45	47	of	of	ADP
ajst-10386	45	48	data	datum	NOUN
ajst-10386	45	49	with	with	ADP
ajst-10386	45	50	different	different	ADJ
ajst-10386	45	51	attitudes	attitude	NOUN
ajst-10386	45	52	,	,	PUNCT
ajst-10386	45	53	and	and	CCONJ
ajst-10386	45	54	the	the	DET
ajst-10386	45	55	accurate	accurate	ADJ
ajst-10386	45	56	mode	mode	NOUN
ajst-10386	45	57	values	value	NOUN
ajst-10386	45	58	were	be	AUX
ajst-10386	45	59	measured	measure	VERB
ajst-10386	45	60	by	by	ADP
ajst-10386	45	61	the	the	DET
ajst-10386	45	62	optical	optical	ADJ
ajst-10386	45	63	pump	pump	NOUN
ajst-10386	45	64	sensor	sensor	NOUN
ajst-10386	45	65	.	.	PUNCT
ajst-10386	46	1	figure3	figure3	PROPN
ajst-10386	46	2	is	be	AUX
ajst-10386	46	3	a	a	DET
ajst-10386	46	4	photograph	photograph	NOUN
ajst-10386	46	5	of	of	ADP
ajst-10386	46	6	the	the	DET
ajst-10386	46	7	non	non	ADJ
ajst-10386	46	8	-	-	ADJ
ajst-10386	46	9	magnetic	magnetic	ADJ
ajst-10386	46	10	rotary	rotary	NOUN
ajst-10386	46	11	table	table	NOUN
ajst-10386	46	12	,	,	PUNCT
ajst-10386	46	13	and	and	CCONJ
ajst-10386	46	14	figure	figure	VERB
ajst-10386	46	15	4	4	NUM
ajst-10386	46	16	is	be	AUX
ajst-10386	46	17	a	a	DET
ajst-10386	46	18	photograph	photograph	NOUN
ajst-10386	46	19	of	of	ADP
ajst-10386	46	20	the	the	DET
ajst-10386	46	21	three	three	NUM
ajst-10386	46	22	-	-	PUNCT
ajst-10386	46	23	axis	axis	NOUN
ajst-10386	46	24	fluxgate	fluxgate	NOUN
ajst-10386	46	25	sensor	sensor	NOUN
ajst-10386	46	26	.	.	PUNCT
ajst-10386	47	1	figure	figure	NOUN
ajst-10386	47	2	3	3	NUM
ajst-10386	47	3	.	.	PUNCT
ajst-10386	47	4	schematic	schematic	ADJ
ajst-10386	47	5	diagram	diagram	NOUN
ajst-10386	47	6	of	of	ADP
ajst-10386	47	7	non	non	ADJ
ajst-10386	47	8	-	-	ADJ
ajst-10386	47	9	magnetic	magnetic	ADJ
ajst-10386	47	10	rotary	rotary	ADJ
ajst-10386	47	11	table	table	NOUN
ajst-10386	47	12	figure	figure	NOUN
ajst-10386	47	13	4	4	NUM
ajst-10386	47	14	.	.	PUNCT
ajst-10386	47	15	schematic	schematic	ADJ
ajst-10386	47	16	diagram	diagram	NOUN
ajst-10386	47	17	of	of	ADP
ajst-10386	47	18	the	the	DET
ajst-10386	47	19	three	three	NUM
ajst-10386	47	20	-	-	PUNCT
ajst-10386	47	21	axis	axis	NOUN
ajst-10386	47	22	magnetic	magnetic	ADJ
ajst-10386	47	23	sensor	sensor	NOUN
ajst-10386	47	24	after	after	ADP
ajst-10386	47	25	processing	process	VERB
ajst-10386	47	26	the	the	DET
ajst-10386	47	27	acquired	acquire	VERB
ajst-10386	47	28	data	datum	NOUN
ajst-10386	47	29	,	,	PUNCT
ajst-10386	47	30	the	the	DET
ajst-10386	47	31	extended	extended	ADJ
ajst-10386	47	32	kalman	kalman	NOUN
ajst-10386	47	33	filter	filter	NOUN
ajst-10386	47	34	is	be	AUX
ajst-10386	47	35	used	use	VERB
ajst-10386	47	36	for	for	ADP
ajst-10386	47	37	correction	correction	NOUN
ajst-10386	47	38	,	,	PUNCT
ajst-10386	47	39	and	and	CCONJ
ajst-10386	47	40	table	table	NOUN
ajst-10386	47	41	2	2	NUM
ajst-10386	47	42	is	be	AUX
ajst-10386	47	43	the	the	DET
ajst-10386	47	44	parameters	parameter	NOUN
ajst-10386	47	45	estimated	estimate	VERB
ajst-10386	47	46	by	by	ADP
ajst-10386	47	47	the	the	DET
ajst-10386	47	48	extended	extended	ADJ
ajst-10386	47	49	kalman	kalman	NOUN
ajst-10386	47	50	filter	filter	NOUN
ajst-10386	47	51	algorithm	algorithm	NOUN
ajst-10386	47	52	.	.	PUNCT
ajst-10386	48	1	it	it	PRON
ajst-10386	48	2	can	can	AUX
ajst-10386	48	3	be	be	AUX
ajst-10386	48	4	seen	see	VERB
ajst-10386	48	5	from	from	ADP
ajst-10386	48	6	figure	figure	NOUN
ajst-10386	48	7	5	5	NUM
ajst-10386	48	8	that	that	SCONJ
ajst-10386	48	9	the	the	DET
ajst-10386	48	10	average	average	ADJ
ajst-10386	48	11	error	error	NOUN
ajst-10386	48	12	before	before	ADP
ajst-10386	48	13	correction	correction	NOUN
ajst-10386	48	14	was	be	AUX
ajst-10386	48	15	as	as	ADV
ajst-10386	48	16	high	high	ADJ
ajst-10386	48	17	as	as	ADP
ajst-10386	48	18	254.4nt	254.4nt	NUM
ajst-10386	48	19	,	,	PUNCT
ajst-10386	48	20	and	and	CCONJ
ajst-10386	48	21	after	after	ADP
ajst-10386	48	22	correction	correction	NOUN
ajst-10386	48	23	,	,	PUNCT
ajst-10386	48	24	it	it	PRON
ajst-10386	48	25	was	be	AUX
ajst-10386	48	26	reduced	reduce	VERB
ajst-10386	48	27	to	to	ADP
ajst-10386	48	28	1.169nt	1.169nt	NUM
ajst-10386	48	29	,	,	PUNCT
ajst-10386	48	30	which	which	PRON
ajst-10386	48	31	was	be	AUX
ajst-10386	48	32	reduced	reduce	VERB
ajst-10386	48	33	by	by	ADP
ajst-10386	48	34	2	2	NUM
ajst-10386	48	35	orders	order	NOUN
ajst-10386	48	36	of	of	ADP
ajst-10386	48	37	magnitude	magnitude	NOUN
ajst-10386	48	38	,	,	PUNCT
ajst-10386	48	39	which	which	PRON
ajst-10386	48	40	proved	prove	VERB
ajst-10386	48	41	the	the	DET
ajst-10386	48	42	effectiveness	effectiveness	NOUN
ajst-10386	48	43	of	of	ADP
ajst-10386	48	44	the	the	DET
ajst-10386	48	45	algorithm	algorithm	NOUN
ajst-10386	48	46	.	.	PUNCT
ajst-10386	49	1	76	76	NUM
ajst-10386	49	2	table	table	NOUN
ajst-10386	49	3	2	2	NUM
ajst-10386	49	4	.	.	PUNCT
ajst-10386	50	1	the	the	DET
ajst-10386	50	2	estimated	estimate	VERB
ajst-10386	50	3	value	value	NOUN
ajst-10386	50	4	of	of	ADP
ajst-10386	50	5	the	the	DET
ajst-10386	50	6	parameters	parameter	NOUN
ajst-10386	50	7	in	in	ADP
ajst-10386	50	8	the	the	DET
ajst-10386	50	9	experiment	experiment	NOUN
ajst-10386	50	10	non	non	ADJ
ajst-10386	50	11	-	-	ADJ
ajst-10386	50	12	orthogonal	orthogonal	ADJ
ajst-10386	50	13	(	(	PUNCT
ajst-10386	50	14	°	°	ADJ
ajst-10386	50	15	)	)	PUNCT
ajst-10386	50	16	scale	scale	NOUN
ajst-10386	50	17	factor	factor	NOUN
ajst-10386	50	18	zero	zero	NUM
ajst-10386	50	19	deviation(nt	deviation(nt	NOUN
ajst-10386	50	20	)	)	PUNCT
ajst-10386	50	21	x	x	NOUN
ajst-10386	50	22	-	-	NOUN
ajst-10386	50	23	axis	axis	ADJ
ajst-10386	50	24	y	y	NOUN
ajst-10386	50	25	-	-	PUNCT
ajst-10386	50	26	axis	axis	NOUN
ajst-10386	50	27	z	z	NOUN
ajst-10386	50	28	-	-	PUNCT
ajst-10386	50	29	axis	axis	NOUN
ajst-10386	50	30	x	x	ADJ
ajst-10386	50	31	-	-	ADJ
ajst-10386	50	32	axis	axis	ADJ
ajst-10386	50	33	y	y	NOUN
ajst-10386	50	34	-	-	PUNCT
ajst-10386	50	35	axis	axis	NOUN
ajst-10386	50	36	z	z	NOUN
ajst-10386	50	37	-	-	PUNCT
ajst-10386	50	38	axis	axis	NOUN
ajst-10386	50	39	x	x	ADJ
ajst-10386	50	40	-	-	ADJ
ajst-10386	50	41	axis	axis	ADJ
ajst-10386	50	42	y	y	NOUN
ajst-10386	50	43	-	-	PUNCT
ajst-10386	50	44	axis	axis	ADJ
ajst-10386	50	45	z	z	NOUN
ajst-10386	50	46	-	-	PUNCT
ajst-10386	50	47	axis	axis	ADJ
ajst-10386	50	48	experimental	experimental	ADJ
ajst-10386	50	49	estimate	estimate	NOUN
ajst-10386	50	50	-0.002	-0.002	PUNCT
ajst-10386	50	51	-0.001	-0.001	NOUN
ajst-10386	50	52	-0.012	-0.012	NUM
ajst-10386	50	53	1.0006	1.0006	NUM
ajst-10386	50	54	0.9995	0.9995	NUM
ajst-10386	50	55	0.998	0.998	NUM
ajst-10386	50	56	21.8107	21.8107	NUM
ajst-10386	50	57	-32.382826	-32.382826	SYM
ajst-10386	50	58	82.0338	82.0338	NUM
ajst-10386	50	59	figure	figure	NOUN
ajst-10386	50	60	4	4	NUM
ajst-10386	50	61	is	be	AUX
ajst-10386	50	62	a	a	DET
ajst-10386	50	63	photograph	photograph	NOUN
ajst-10386	50	64	of	of	ADP
ajst-10386	50	65	the	the	DET
ajst-10386	50	66	three	three	NUM
ajst-10386	50	67	-	-	PUNCT
ajst-10386	50	68	axis	axis	NOUN
ajst-10386	50	69	fluxgate	fluxgate	NOUN
ajst-10386	50	70	sensor	sensor	NOUN
ajst-10386	50	71	figure	figure	NOUN
ajst-10386	50	72	5	5	NUM
ajst-10386	50	73	.	.	PUNCT
ajst-10386	50	74	in	in	ADP
ajst-10386	50	75	the	the	DET
ajst-10386	50	76	experiment	experiment	NOUN
ajst-10386	50	77	,	,	PUNCT
ajst-10386	50	78	the	the	DET
ajst-10386	50	79	difference	difference	NOUN
ajst-10386	50	80	correction	correction	NOUN
ajst-10386	50	81	comparison	comparison	NOUN
ajst-10386	50	82	between	between	ADP
ajst-10386	50	83	the	the	DET
ajst-10386	50	84	modulus	modulus	ADJ
ajst-10386	50	85	value	value	NOUN
ajst-10386	50	86	before	before	ADV
ajst-10386	50	87	and	and	CCONJ
ajst-10386	50	88	after	after	ADP
ajst-10386	50	89	sensor	sensor	NOUN
ajst-10386	50	90	correction	correction	NOUN
ajst-10386	50	91	and	and	CCONJ
ajst-10386	50	92	the	the	DET
ajst-10386	50	93	modulus	modulus	ADJ
ajst-10386	50	94	value	value	NOUN
ajst-10386	50	95	of	of	ADP
ajst-10386	50	96	the	the	DET
ajst-10386	50	97	optical	optical	ADJ
ajst-10386	50	98	pump	pump	NOUN
ajst-10386	50	99	sensor	sensor	NOUN
ajst-10386	50	100	4	4	NUM
ajst-10386	50	101	.	.	PUNCT
ajst-10386	51	1	conclusion	conclusion	NOUN
ajst-10386	51	2	aiming	aim	VERB
ajst-10386	51	3	at	at	ADP
ajst-10386	51	4	the	the	DET
ajst-10386	51	5	errors	error	NOUN
ajst-10386	51	6	of	of	ADP
ajst-10386	51	7	non	non	ADJ
ajst-10386	51	8	-	-	ADJ
ajst-10386	51	9	orthogonality	orthogonality	ADJ
ajst-10386	51	10	,	,	PUNCT
ajst-10386	51	11	scale	scale	NOUN
ajst-10386	51	12	factor	factor	NOUN
ajst-10386	51	13	and	and	CCONJ
ajst-10386	51	14	zero	zero	NUM
ajst-10386	51	15	bias	bias	NOUN
ajst-10386	51	16	generated	generate	VERB
ajst-10386	51	17	by	by	ADP
ajst-10386	51	18	the	the	DET
ajst-10386	51	19	triaxial	triaxial	PROPN
ajst-10386	51	20	magnetic	magnetic	ADJ
ajst-10386	51	21	sensor	sensor	NOUN
ajst-10386	52	1	,	,	PUNCT
ajst-10386	52	2	this	this	DET
ajst-10386	52	3	paper	paper	NOUN
ajst-10386	52	4	adopts	adopt	VERB
ajst-10386	52	5	the	the	DET
ajst-10386	52	6	correction	correction	NOUN
ajst-10386	52	7	method	method	NOUN
ajst-10386	52	8	based	base	VERB
ajst-10386	52	9	on	on	ADP
ajst-10386	52	10	extended	extended	ADJ
ajst-10386	52	11	kalman	kalman	NOUN
ajst-10386	52	12	filter	filter	NOUN
ajst-10386	52	13	,	,	PUNCT
ajst-10386	52	14	which	which	PRON
ajst-10386	52	15	corrects	correct	VERB
ajst-10386	52	16	the	the	DET
ajst-10386	52	17	triaxial	triaxial	ADJ
ajst-10386	52	18	fluxgate	fluxgate	NOUN
ajst-10386	52	19	sensor	sensor	NOUN
ajst-10386	52	20	by	by	ADP
ajst-10386	52	21	the	the	DET
ajst-10386	52	22	principle	principle	NOUN
ajst-10386	52	23	that	that	SCONJ
ajst-10386	52	24	the	the	DET
ajst-10386	52	25	modal	modal	ADJ
ajst-10386	52	26	values	value	NOUN
ajst-10386	52	27	of	of	ADP
ajst-10386	52	28	the	the	DET
ajst-10386	52	29	triaxial	triaxial	PROPN
ajst-10386	52	30	magnetic	magnetic	ADJ
ajst-10386	52	31	sensor	sensor	NOUN
ajst-10386	52	32	are	be	AUX
ajst-10386	52	33	the	the	DET
ajst-10386	52	34	same	same	ADJ
ajst-10386	52	35	in	in	ADP
ajst-10386	52	36	different	different	ADJ
ajst-10386	52	37	attitudes	attitude	NOUN
ajst-10386	52	38	.	.	PUNCT
ajst-10386	53	1	the	the	DET
ajst-10386	53	2	simulation	simulation	NOUN
ajst-10386	53	3	and	and	CCONJ
ajst-10386	53	4	experimental	experimental	ADJ
ajst-10386	53	5	results	result	NOUN
ajst-10386	53	6	prove	prove	VERB
ajst-10386	53	7	that	that	SCONJ
ajst-10386	53	8	the	the	DET
ajst-10386	53	9	method	method	NOUN
ajst-10386	53	10	effectively	effectively	ADV
ajst-10386	53	11	reduces	reduce	VERB
ajst-10386	53	12	the	the	DET
ajst-10386	53	13	error	error	NOUN
ajst-10386	53	14	of	of	ADP
ajst-10386	53	15	the	the	DET
ajst-10386	53	16	three	three	NUM
ajst-10386	53	17	-	-	PUNCT
ajst-10386	53	18	axis	axis	NOUN
ajst-10386	53	19	sensor	sensor	NOUN
ajst-10386	53	20	and	and	CCONJ
ajst-10386	53	21	improves	improve	VERB
ajst-10386	53	22	the	the	DET
ajst-10386	53	23	measurement	measurement	NOUN
ajst-10386	53	24	accuracy	accuracy	NOUN
ajst-10386	53	25	.	.	PUNCT
ajst-10386	54	1	references	reference	NOUN
ajst-10386	54	2	[	[	X
ajst-10386	54	3	1	1	NUM
ajst-10386	54	4	]	]	X
ajst-10386	54	5	zhi	zhi	PROPN
ajst-10386	54	6	menghui	menghui	PROPN
ajst-10386	54	7	.	.	PUNCT
ajst-10386	55	1	research	research	NOUN
ajst-10386	55	2	on	on	ADP
ajst-10386	55	3	high	high	ADJ
ajst-10386	55	4	precision	precision	NOUN
ajst-10386	55	5	digital	digital	ADJ
ajst-10386	55	6	fluxgate	fluxgate	NOUN
ajst-10386	55	7	sensor[d	sensor[d	NOUN
ajst-10386	55	8	]	]	PUNCT
ajst-10386	55	9	.	.	PUNCT
ajst-10386	56	1	soochow	soochow	PROPN
ajst-10386	56	2	university,2017	university,2017	ADJ
ajst-10386	56	3	.	.	PUNCT
ajst-10386	57	1	[	[	X
ajst-10386	57	2	2	2	X
ajst-10386	57	3	]	]	X
ajst-10386	57	4	han	han	PROPN
ajst-10386	57	5	y.	y.	PROPN
ajst-10386	57	6	mems	mems	PROPN
ajst-10386	57	7	aviation	aviation	PROPN
ajst-10386	57	8	micro	micro	PROPN
ajst-10386	57	9	era[j	era[j	PROPN
ajst-10386	57	10	]	]	PUNCT
ajst-10386	57	11	.	.	PUNCT
ajst-10386	58	1	aviation	aviation	NOUN
ajst-10386	58	2	weapons,2013(05):18	weapons,2013(05):18	PROPN
ajst-10386	58	3	-	-	PUNCT
ajst-10386	58	4	21	21	NUM
ajst-10386	58	5	+	+	ADJ
ajst-10386	58	6	51.doi:10.19297	51.doi:10.19297	ADJ
ajst-10386	58	7	/	/	SYM
ajst-10386	58	8	j.cnki.411228	j.cnki.411228	NOUN
ajst-10386	58	9	/	/	SYM
ajst-10386	58	10	tj.2013.05.005	tj.2013.05.005	NOUN
ajst-10386	59	1	[	[	X
ajst-10386	59	2	3	3	NUM
ajst-10386	59	3	]	]	PUNCT
ajst-10386	59	4	xu	xu	PROPN
ajst-10386	59	5	dongfu	dongfu	PROPN
ajst-10386	59	6	.	.	PUNCT
ajst-10386	60	1	research	research	NOUN
ajst-10386	60	2	on	on	ADP
ajst-10386	60	3	multi	multi	ADJ
ajst-10386	60	4	-	-	ADJ
ajst-10386	60	5	sensor	sensor	ADJ
ajst-10386	60	6	integrated	integrate	VERB
ajst-10386	60	7	navigation	navigation	NOUN
ajst-10386	60	8	control	control	NOUN
ajst-10386	60	9	system	system	NOUN
ajst-10386	60	10	of	of	ADP
ajst-10386	60	11	multi	multi	NOUN
ajst-10386	60	12	-	-	NOUN
ajst-10386	60	13	rotoraircraft	rotoraircraft	NOUN
ajst-10386	60	14	[	[	X
ajst-10386	60	15	d	d	X
ajst-10386	60	16	]	]	X
ajst-10386	60	17	.	.	PUNCT
ajst-10386	61	1	graduate	graduate	PROPN
ajst-10386	61	2	school	school	NOUN
ajst-10386	61	3	of	of	ADP
ajst-10386	61	4	chinese	chinese	PROPN
ajst-10386	61	5	academy	academy	PROPN
ajst-10386	61	6	of	of	ADP
ajst-10386	61	7	sciences	sciences	PROPN
ajst-10386	61	8	(	(	PUNCT
ajst-10386	61	9	changchun	changchun	PROPN
ajst-10386	61	10	institute	institute	PROPN
ajst-10386	61	11	of	of	ADP
ajst-10386	61	12	optics	optic	NOUN
ajst-10386	61	13	,	,	PUNCT
ajst-10386	61	14	fine	fine	ADJ
ajst-10386	61	15	mechanics	mechanic	NOUN
ajst-10386	61	16	and	and	CCONJ
ajst-10386	61	17	physics	physic	NOUN
ajst-10386	61	18	)	)	PUNCT
ajst-10386	61	19	,	,	PUNCT
ajst-10386	61	20	2016	2016	NUM
ajst-10386	61	21	.	.	PUNCT
ajst-10386	62	1	[	[	X
ajst-10386	62	2	4	4	NUM
ajst-10386	62	3	]	]	X
ajst-10386	62	4	wu	wu	PROPN
ajst-10386	62	5	z	z	PROPN
ajst-10386	62	6	,	,	PUNCT
ajst-10386	62	7	wu	wu	PROPN
ajst-10386	62	8	y	y	PROPN
ajst-10386	62	9	,	,	PUNCT
ajst-10386	62	10	hu	hu	PROPN
ajst-10386	62	11	x	x	INTJ
ajst-10386	62	12	,	,	PUNCT
ajst-10386	62	13	et	et	PROPN
ajst-10386	62	14	al	al	PROPN
ajst-10386	62	15	.	.	PUNCT
ajst-10386	62	16	calibration	calibration	NOUN
ajst-10386	62	17	of	of	ADP
ajst-10386	62	18	three	three	NUM
ajst-10386	62	19	-	-	PUNCT
ajst-10386	62	20	axis	axis	NOUN
ajst-10386	62	21	strapdown	strapdown	ADJ
ajst-10386	62	22	magnetometers	magnetometer	NOUN
ajst-10386	62	23	using	use	VERB
ajst-10386	62	24	particle	particle	NOUN
ajst-10386	62	25	swarm	swarm	NOUN
ajst-10386	62	26	optimization	optimization	NOUN
ajst-10386	62	27	algorithm[c]//	algorithm[c]//	PROPN
ajst-10386	62	28	ieee	ieee	PROPN
ajst-10386	62	29	international	international	ADJ
ajst-10386	62	30	symposium	symposium	NOUN
ajst-10386	62	31	on	on	ADP
ajst-10386	62	32	robotic	robotic	ADJ
ajst-10386	62	33	&	&	CCONJ
ajst-10386	62	34	sensors	sensor	NOUN
ajst-10386	62	35	environments	environment	NOUN
ajst-10386	62	36	.	.	PUNCT
ajst-10386	63	1	ieee	ieee	NOUN
ajst-10386	63	2	,	,	PUNCT
ajst-10386	63	3	2011	2011	NUM
ajst-10386	63	4	.	.	PUNCT
ajst-10386	64	1	[	[	X
ajst-10386	64	2	5	5	NUM
ajst-10386	64	3	]	]	PUNCT
ajst-10386	64	4	yuan	yuan	NOUN
ajst-10386	64	5	guangmin	guangmin	NOUN
ajst-10386	64	6	,	,	PUNCT
ajst-10386	64	7	yuan	yuan	PROPN
ajst-10386	64	8	weizheng	weizheng	X
ajst-10386	64	9	,	,	PUNCT
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ajst-10386	64	12	,	,	PUNCT
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ajst-10386	64	15	,	,	PUNCT
ajst-10386	64	16	xue	xue	PROPN
ajst-10386	64	17	liang	liang	PROPN
ajst-10386	64	18	,	,	PUNCT
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ajst-10386	64	20	xiaoying	xiaoying	PROPN
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ajst-10386	65	3	three	three	NUM
ajst-10386	65	4	-	-	PUNCT
ajst-10386	65	5	axis	axis	NOUN
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ajst-10386	65	8	on	on	ADP
ajst-10386	65	9	adaptive	adaptive	ADJ
ajst-10386	65	10	genetic	genetic	ADJ
ajst-10386	65	11	algorithm	algorithm	NOUN
ajst-10386	65	12	(	(	PUNCT
ajst-10386	65	13	in	in	ADP
ajst-10386	65	14	english)[j	english)[j	PROPN
ajst-10386	65	15	]	]	PUNCT
ajst-10386	65	16	.	.	PUNCT
ajst-10386	66	1	chinese	chinese	ADJ
ajst-10386	66	2	journal	journal	PROPN
ajst-10386	66	3	of	of	ADP
ajst-10386	66	4	inertial	inertial	ADJ
ajst-10386	66	5	technology,2017,25(03):382	technology,2017,25(03):382	PROPN
ajst-10386	66	6	-	-	PUNCT
ajst-10386	66	7	386	386	NUM
ajst-10386	66	8	.	.	PUNCT
ajst-10386	66	9	doi:10.13695	doi:10.13695	PROPN
ajst-10386	66	10	/	/	SYM
ajst-10386	66	11	j.cnki	j.cnki	PROPN
ajst-10386	66	12	.	.	PUNCT
ajst-10386	67	1	121222	121222	NUM
ajst-10386	67	2	/	/	SYM
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ajst-10386	67	4	.	.	PUNCT
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ajst-10386	68	3	]	]	X
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ajst-10386	68	5	.	.	PROPN
ajst-10386	68	6	luo	luo	PROPN
ajst-10386	68	7	,	,	PUNCT
ajst-10386	68	8	h.b	h.b	PROPN
ajst-10386	68	9	.	.	PROPN
ajst-10386	68	10	li	li	PROPN
ajst-10386	68	11	,	,	PUNCT
ajst-10386	68	12	j.x	j.x	PROPN
ajst-10386	68	13	.	.	PROPN
ajst-10386	68	14	liu	liu	PROPN
ajst-10386	68	15	et	et	PROPN
ajst-10386	68	16	al	al	PROPN
ajst-10386	68	17	.	.	PROPN
ajst-10386	69	1	error	error	NOUN
ajst-10386	69	2	correction	correction	NOUN
ajst-10386	69	3	method	method	NOUN
ajst-10386	69	4	for	for	ADP
ajst-10386	69	5	three	three	NUM
ajst-10386	69	6	-	-	PUNCT
ajst-10386	69	7	axis	axis	NOUN
ajst-10386	69	8	fluxgate	fluxgate	NOUN
ajst-10386	69	9	sensor[j	sensor[j	PROPN
ajst-10386	69	10	]	]	PUNCT
ajst-10386	69	11	.	.	PUNCT
ajst-10386	70	1	navigation	navigation	NOUN
ajst-10386	70	2	and	and	CCONJ
ajst-10386	70	3	control	control	NOUN
ajst-10386	70	4	,	,	PUNCT
ajst-10386	70	5	2019	2019	NUM
ajst-10386	70	6	,	,	PUNCT
ajst-10386	70	7	18(03	18(03	NUM
ajst-10386	70	8	):	):	PUNCT
ajst-10386	70	9	52	52	NUM
ajst-10386	70	10	-	-	SYM
ajst-10386	70	11	58	58	NUM
ajst-10386	70	12	.	.	PUNCT
ajst-10386	71	1	[	[	X
ajst-10386	71	2	7	7	X
ajst-10386	71	3	]	]	X
ajst-10386	71	4	li	li	PROPN
ajst-10386	71	5	caihong	caihong	PROPN
ajst-10386	71	6	et	et	PROPN
ajst-10386	71	7	al	al	PROPN
ajst-10386	71	8	.	.	PROPN
ajst-10386	71	9	correction	correction	PROPN
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ajst-10386	71	11	of	of	ADP
ajst-10386	71	12	three	three	NUM
ajst-10386	71	13	-	-	PUNCT
ajst-10386	71	14	axis	axis	NOUN
ajst-10386	71	15	magnetic	magnetic	ADJ
ajst-10386	71	16	sensor	sensor	NOUN
ajst-10386	71	17	based	base	VERB
ajst-10386	71	18	on	on	ADP
ajst-10386	71	19	da	da	ADJ
ajst-10386	71	20	–	–	PUNCT
ajst-10386	71	21	lm	lm	PROPN
ajst-10386	71	22	.	.	PUNCT
ajst-10386	71	23	metals	metal	NOUN
ajst-10386	71	24	.	.	PUNCT
ajst-10386	72	1	vol	vol	NOUN
ajst-10386	72	2	.	.	PROPN
ajst-10386	73	1	12	12	NUM
ajst-10386	73	2	,	,	PUNCT
ajst-10386	73	3	no	no	INTJ
ajst-10386	73	4	.	.	NOUN
ajst-10386	73	5	3	3	NUM
ajst-10386	73	6	,	,	PUNCT
ajst-10386	73	7	2022	2022	NUM
ajst-10386	73	8	,	,	PUNCT
ajst-10386	73	9	pp	pp	ADJ
ajst-10386	73	10	.	.	PUNCT
ajst-10386	74	1	428	428	X
ajst-10386	74	2	.	.	PUNCT
ajst-10386	75	1	[	[	X
ajst-10386	75	2	8	8	NUM
ajst-10386	75	3	]	]	X
ajst-10386	75	4	alonoso	alonoso	NOUN
ajst-10386	75	5	r	r	NOUN
ajst-10386	75	6	,	,	PUNCT
ajst-10386	75	7	shuster	shuster	PROPN
ajst-10386	75	8	m	m	PROPN
ajst-10386	75	9	d	d	PROPN
ajst-10386	75	10	.	.	PUNCT
ajst-10386	76	1	complete	complete	ADJ
ajst-10386	76	2	linear	linear	ADJ
ajst-10386	76	3	attitude	attitude	NOUN
ajst-10386	76	4	independent	independent	ADJ
ajst-10386	76	5	magnetometer	magnetometer	NOUN
ajst-10386	76	6	calibration[j	calibration[j	PROPN
ajst-10386	76	7	]	]	PUNCT
ajst-10386	76	8	.	.	PUNCT
ajst-10386	77	1	the	the	DET
ajst-10386	77	2	journal	journal	NOUN
ajst-10386	77	3	of	of	ADP
ajst-10386	77	4	the	the	DET
ajst-10386	77	5	astro	astro	NOUN
ajst-10386	77	6	-	-	PUNCT
ajst-10386	77	7	nautical	nautical	ADJ
ajst-10386	77	8	sciences	science	NOUN
ajst-10386	77	9	,	,	PUNCT
ajst-10386	77	10	2002,50	2002,50	NUM
ajst-10386	77	11	(	(	PUNCT
ajst-10386	77	12	4	4	NUM
ajst-10386	77	13	)	)	PUNCT
ajst-10386	77	14	:	:	PUNCT
ajst-10386	77	15	477	477	NUM
ajst-10386	77	16	-	-	SYM
ajst-10386	77	17	490	490	NUM
ajst-10386	77	18	.	.	PUNCT