An Improved Indoor Geolocation Algorithm based on Log-distance Path Loss Model

摘要

This paper proposes an indoor localization algorithm based on Log-distance path loss model. The two parameters of the Log-distance path loss model are estimated by the measured RSSI data. Then the two step filtering was carried out to keep the RSSI signals with the higher probabilities. Finally the Taylor's series iteration method is used to compute the position coordinate of the moving objects. The experiment results show that the location error is no more than 3m.