id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-2485	Wu, Tianhao	Review of RSSI-based Positioning Algorithm and Accuracy	2022	3	.pdf	application/pdf	2738	129	41	In addition, most of today's research on RSSI localization has been improved on the basis of the original RSSI algorithm, which has more optimization directions from the principle, which are analyzed and classified in this paper to provide some entry points and help for others' research. For example, BP neural networks were used to optimize RSSI ranging algorithms by Yao et al, a research group that proposed a ranging method that applied a BP neural network model based on the K-means clustering algorithm, divided the distance intervals for the sample data during ranging, fed the classified data into the neural network, built the model and calculated the measured distances.	cache/fcis-2485.pdf	txt/fcis-2485.txt