Effective target group tracking algorithm for wireless sensor network

This paper explores the problem of tracking a group of targets with correlated motions in wireless sensor network. In this paper, the problem is modeled as tracking a geographical continuous region covered by all targets. A tracking algorithm is proposed to estimate the region covered by the target group at each sampling time. Based on the locations of sensors and AOA (angle of arrival) information, the estimated region covering all the group members is obtained. Simulation results show that the proposed algorithm is superior to other existing approach in terms of the reduction in localization error.