Multivariable Fingerprints With Random Forest Variable Selection for Indoor Positioning System
IEEE Sensors Journal(2022)
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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