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Jingxue Bi, Lu Huang, Hongji Cao, Guobiao Yao, Wengang Sang, Jie Zhen and Yuying Liu
Many indoor fingerprinting localization methods are based on signal-domain distances with large localization error and low stability. An improved fingerprinting localization method using a clustering algorithm and dynamic compensation was proposed. In th...
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Hongxia Qi, Yunjia Wang, Jingxue Bi, Hongji Cao and Shenglei Xu
Floor positioning is an important aspect of indoor positioning technology, which is closely related to location-based services (LBSs). Currently, floor positioning technologies are mainly based on radio signals and barometric pressure. The former are imp...
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Hongji Cao, Yunjia Wang, Jingxue Bi, Meng Sun, Hongxia Qi and Shenglei Xu
Since many Wi-Fi routers can currently transmit two-band signals, we aimed to study dual-band Wi-Fi to achieve better positioning results. Thus, this paper proposes a fingerprint positioning method for dual-band Wi-Fi based on Gaussian process regression...
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Hongji Cao, Yunjia Wang, Jingxue Bi, Shenglei Xu, Minghao Si and Hongxia Qi
WiFi-based indoor positioning methods have attracted extensive attention due to the wide installation of WiFi access points (APs). Recently, the WiFi standard was modified and introduced into a new two-way approach based on round trip time (RTT) measurem...
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