Distributed particle filter for target tracking in wireless sensor network

Abstract

In this paper, distributed particle filter for target tracking in wireless sensor network was proposed. The key issue of distributed particle filter is sensor selection. Because of the limited resources, the fusion of the observation by the selected sensor must reduce uncertainty of the target state distribution without receiving any actual sensor observations. Our sensor selection is computationally much simpler than other sensor selection approaches. Simulation results show that our approach can reach very well performance for target tracking.