Lingwu Qian1, Jianxiang Li2, Qi Tang1, Mengfei Liu1, Bingjie Yuan1, Guoli Ji1,*
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1441-1455, 2023, DOI:10.32604/cmes.2023.024534
Abstract In recent years, a number of wireless indoor positioning (WIP), such as Bluetooth, Wi-Fi, and Ultra-Wideband (UWB) technologies, are emerging. However, the indoor environment is complex and changeable. Walls, pillars, and even pedestrians may block wireless signals and produce non-line-of-sight (NLOS) deviations, resulting in decreased positioning accuracy and the inability to provide people with real-time continuous indoor positioning. This work proposed a strong tracking particle filter based on the chi-square test (SPFC) for indoor positioning. SPFC can fuse indoor wireless signals and the information of the inertial sensing unit (IMU) in the smartphone and detect More >
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