Distributed Target Tracking Algorithm for Wireless Sensor Networks

We consider the problem of distributed particle filtering, where a set of nodes are required to collectively estimate the state of a nonlinear dynamic system from their individual measurements. An efficient distributed particle filters based on diffusion strategy is proposed. In diffusion strategy, nodes communicate with their one-hop neighbor nodes only, and the information is diffused across the network. The performance analysis for this distributed target tracking algorithm is given in the paper. Simulation results demonstrate the effectiveness of our algorithm.