¹ Chongqing Key Lab of Mobile Communications Technology, School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, 400065 China
² Chongqing Lab of Material Physics and Information Display, School of Electronic Engineering, Chongqing University of Posts and Telecommunications, Chongqing, 400065 China

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Abstract—This paper presents a two-stage fingerprint filtering (FF) approach for the received signal strength (RSS) based location matching in Wi-Fi area. With the popularity of ubiquitous computing and location-based services in a recent decade, the Wi-Fi RSS-based location matching has been one of the most widely recognized method to locate users’ positions due to its low cost of deployment and maintenance. However, the indoor or urban wireless channel is characterized by time varying, non-line-of-sight, and multi-path interference. The efficiency of fingerprints is significantly deteriorated. Therefore, constructing a reliable radio map for the location matching becomes a key and unavoidable challenge. The experiments conducted in the real Wi-Fi environment indicate that the FF approach can yield better location precision (or the probability of locating the test position at matching position) and accuracy (or the cumulative distribution functions of errors) compared with the conventional neighbor matching.

Index Terms—Wi-Fi localization, fingerprint filtering, correlation coefficient, neighbor matching, radio map.

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Cite: Mu Zhou, Zengshan Tian, Xiang Yu, Xiaomou Tang, and Xia Hong, " A Two-Stage Fingerprint Filtering Approach for Wi-Fi RSS-Based Location Matching," Journal of Computers vol. 8, no. 9, pp. 2374-2381, 2013.