Positioning correction algorithm considering indoor building environment and human movement characteristics
ZHU Junsong
Abstract：In view of the low positioning accuracy in indoor Wi-Fi positioning due to multipath effect,equipment instability,and data missing in complex building environments,this study proposes an improved received signal strength indicator(RSSI)trajectory correction algorithm.RSSI fuses indoor building environment and human spatiotemporal movement characteristics.It corrects the signal value based on the attenuation effect of obstacles such as walls and floors on RSSI signals.And it generates trajectories through traditional positioning methods and optimizes abnormal trajectory points according to human movement laws.The results showed that the RSSI algorithm significantly improved positioning accuracy,with an average positioning accuracy of 2.01 m,which is a 36.4%improvement over traditional algorithms,providing effective support for indoor safety management and precise positioning.
Keywords：received signal strength indicator(RSSI)localizationsignal attenuationindoor building environmenthuman movement characteristicstrajectory correction
Publication Date：2025-05-25
Pages：4( 1-4 )