Mobile Target Localization Based on Mean Shift in Wireless Sensor Networks

Abstract

In order to localize the mobile targets in real time and with high accuracy, by employing mean shift algorithm to generate the proposal distribution for the joint particle filter, this paper proposes a novel mobile target localization algorithm, which we called mean shift particle filter. The mean shift particle filter algorithm significantly improves the accuracy of the particle state estimation and reduces the necessary number of samples by using the current observations in sampling procedure to obtain a sample distribution. It also reduces the interference among multiple targets in close proximity by weighting samples according to the virtual hamming distances and interaction potentials. By arranging the state distributions of mobile targets, the proposed scheme can handle the multiple peaks in state estimation of mobile targets and improves the localization accuracy.