Multivariable Fingerprints With Random Forest Variable Selection for Indoor Positioning System

IEEE Sensors Journal(2022)

引用 10|浏览4
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摘要
Indoor positioning technology with fingerprints based on 5th Generation (5G) mobile communication system has attracted extensive attention. Due to instability caused by non-line-of-sight and multipath propagation, received signal strength indicator (RSSI) values at different points may be similar. To address the problem and meet the requirement of high-precision indoor positioning, multivariable f...
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关键词
Fingerprint recognition,Decision trees,5G mobile communication,Databases,Random forests,Sensors,Input variables
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