PDR-Aided Algorithm with WiFi Fingerprint Matching for Indoor Localization

Abstract:

Recently, indoor localization is essential to enable location-based services for many mobile and social network applications. Due to fluctuation of the wireless signal, the accuracy of a simple WiFi fingerprint-based localization is not high. In this paper, we first exploit Pedestrian Dead Reckoning (PDR) technology to overcome the problem of the wireless signal fluctuation, then propose a PDR-aided algorithm with WiFi fingerprint matching for indoor localization, which using the PDR technology aided indoor localization. Experiments show that our algorithm has better accuracy than other indoor localization methods.

• Periodical: Applied Mechanics and Materials (Volumes 701-702)
• Pages: 989-993
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.701-702.989
• Online since: December 2014
• Authors: Wen Bin Yu, Peng Li*, Zhi Chen, Chang Li
• Keywords: Indoor Localization, Pedestrian Dead Reckoning, WiFi Fingerprint Matching

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