Multipath-based probabilistic fingerprinting method for indoor positioning

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Abstract The space-alternating generalized expectation-maximization (SAGE) algorithm provides efficient, accurate indoor channel multipath estimation. This paper describes a multipath-based probabilistic fingerprinting method for indoor positioning that utilizes the channel multipath parameters obtained by the SAGE algorithm as fingerprinting data to achieve better positioning accuracy and robustness. Tests of measurements in a typical indoor environment show that this method is more accurate than traditional indoor positioning methods.

Keywords channel multipath estimation fingerprinting indoor positioning multipath parameters

ZTFLH:

TN929.5

Issue Date: 15 May 2015

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	LI Jiahui
	ZHANG Yan
	LUAN Fengyu
	LI Xueru
	ZHOU Lai
	ZHOU Shidong

Cite this article:

LI Jiahui,ZHANG Yan,LUAN Fengyu, et al. Multipath-based probabilistic fingerprinting method for indoor positioning[J]. Journal of Tsinghua University(Science and Technology), 2015, 55(5): 514-519,525.

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http://jst.tsinghuajournals.com/EN/ OR http://jst.tsinghuajournals.com/EN/Y2015/V55/I5/514

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