Fusion of Wi-Fi and bluetooth for indoor localization

Authors:
Rui Wang;Fang Zhao;Haiyong Luo;Bo Lu;Tao Lu
Affiliations:
Beijing University of Posts and Telecommunications, Beijing, China;Beijing University of Posts and Telecommunications, Beijing, China;Chinese Academy of Sciences, Beijing, China;ICTEHI Technology Development Co. Ltd., Beijing, China;ICTEHI Technology Development Co. Ltd., Beijing, China
Venue:
Proceedings of the 1st international workshop on Mobile location-based service
Year:
2011

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Abstract

The existing localization technology with single mode is limited in accuracy and robustness. To obtain higher accuracy, this paper proposes a novel indoor localization algorithm with WI-FI and Bluetooth. The approach is based on the Bayesian filtering and performs data-level fusion to get the final position estimate. In addition, idea of simulated annealing algorithm is learned into it that makes our algorithm can find the global optimal value in probability. Experimental results demonstrate that the proposed localization algorithm outperforms the single mode localization with accuracy and robustness.