Indoor localization with adaptive channel model estimation in WiFi networks

Abstract

This paper investigates the indoor localization based on channel estimation with the received signal strength (RSS) of three access points (APs) in Wi-Fi networks. In this paper, the proposed adaptive channel estimation for the path loss exponent (PLE) is based on the root mean square error (RMSE) of RSS of the APs. The PLE effects are investigated and then an adaptive PLE estimation is proposed to improve the indoor localization. Experimental results show that the proposed adaptive modeling of PLEs can effectively decrease the localization error.