摘要

A novel collaborative tracking algorithm based on distributed particle filter is proposed for tracking mobile target in wireless sensor networks. Firstly, we present a dynamic cluster architecture, where the schemes to select the cluster heads and the cluster member nodes are designed. Secondly, a distributed particle filter algorithm is proposed to collaboratively realize computation among cluster members, where the unscented particle filter algorithm is running simultaneously in all the cluster members so as to speed up the computation, and the Gaussian mixture model is adopted to approximate the posterior distribution of the weighted particles so as to reduce the communication payload among the cluster heads. Simulation results validate the algorithm and demonstrate that its performance is close to the posterior Cramer-Rao lower bound.

  • 出版日期2010

全文