Joint Coordinate Optimization in Fingerprint-Based Indoor Positioning
IEEE Communications Letters(2021)
摘要
Fingerprint-based indoor positioning uses pattern recognition algorithms (PRAs) to estimate the users’ locations in wireless local area network environments, where satellite-based positioning methods cannot work properly. Traditionally, the training phase of PRA is separately conducted for $x$ and $y$ coordinates. However, the received signal strength from access points is a unique fingerprint...
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关键词
Covariance matrices,Optimization,Training,Kernel,Wireless LAN,Gaussian processes,Telecommunications
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