An indoor localization method combining WiFi, geomagnetism and PDR

doi:10.13474/j.cnki.11-2246.2020.0173

Abstract

Abstract: This paper proposes an improved particle filtering method that uses indoor WiFi signals, geomagnetic sources, and cheap smartphone sensors to perform indoor localization. WiFi indoor localization has fewer mismatches and geomagnetic fingerprint indoor localization has strong anti-interference ability, this paper uses the advantages of both and combines PDR to provide continuous location information. Compared with traditional particle filtering, MD-DTW (multi-dimensional dynamic time warping) is used to determine the weight of particles, and a segmented particle weighting method is proposed to constrain the length of the particle sequence, which can effectively accelerate the convergence speed of particle filtering. Simulation experiments show that the improved particle filter can achieve a positioning result of 1 m, which has strong practicability.

Key words: indoor localization, particle filtering, geomagnetism, PDR, WiFi

CLC Number:

P228

WANG Zhaoyuan, GAO Jingxiang, LI Zengke, CHANG Mengyang. An indoor localization method combining WiFi, geomagnetism and PDR[J]. Bulletin of Surveying and Mapping, 2020, 0(6): 17-21.

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