Indoor Positioning Algorithm Fusing Multi-Source Information
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With the development of computer technology, mobile intelligent terminal and wireless local area network (WLAN), the applications of location services have shown significant growth, and much progress has been made both in the applications and researches. According to the actual application requirements, a robust indoor positioning algorithm fusing multi-source information was presented in this paper. Firstly, the methods based on the inertial navigation system (INS) and the received signal strength (RSS) of WLAN were discussed and together with their advantages and disadvantages. Then, in order to further improve the positioning performance, a fusion model based on the sparse signal representation theory was designed to integrate the INS and RSS information, and next the optimization solution approach for the fusion model was deeply discussed. Finally, the simulation experiments were designed and carried out, and the experimental results demonstrated the feasibility and effectiveness of the proposed fusion algorithm.
KeywordsIndoor positioning Multi-source information Fusion model Sparse representation RSS INS
This paper is supported by the Beijing Key Laboratory of Intelligent Logistics System (No. BZ0211), Beijing Intelligent Logistics System Collaborative Innovation Center, Beijing youth top-notch talent plan of High-Creation Plan (No. 2017000026833ZK25), Canal Plan Leading Talent Project of Beijing Tongzhou District (No. YHLB2017038), General Program of Science and Technology Development Project of Beijing Municipal Education Commission of China (No. KM201710037001), Grass-roots Academic Team Building Project of Beijing Wuzi University (No. 2019XJJCTD04).
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