An Analysis towards Synergetic Test of Wi-Fi Signal for Indoor Localization

Abstract

With the fast growth of demand for the ubiquitous, precise, and instant indoor location information, the Received Signal Strength (RSS) based Wi-Fi indoor localization has been greeted with an avalanche of publicity. The studies in this field so far rarely consider the diversity of Wi-Fi signals, and thereby the RSS measures involving gross error on account of the complicated indoor environment deteriorate localization accuracy. In response to this compelling problem, we propose to use the concept of Asymptotic Relative Efficiency (ARE) to design a new synergetic test of Wi-Fi signal for indoor localization. Specifically, first of all, the Jarque-Bera (JB) test is conducted to test the normality of Wi-Fi signals at each Reference Point (RP). Second, the result of JB test is fed into the synergetic Mann-Whitney U and T test to construct the set of matching RPs corresponding to the newly-collected RSS data. Finally, the location coordinate of the target is obtained by calculating the K-nearest neighbor of matching RPs. Furthermore, the experimental results demonstrate that the proposed approach is featured with higher localization accuracy compared with the existing Wi-Fi indoor localization approaches.