A Distributed Target Tracking Algorithm Based on Particle Filter

摘要

A distributed target tracking algorithm based on particle filter is presented to improve the tracking accuracy. By integrating the maximum likelihood estimation algorithm into particle filter model, an optimum weight selection algorithm can be used to reduce overall energy consumption of some sample calculations activities in wireless sensor network. Evaluation results prove that the improved solution can effectively increase the tracking accuracy while overcoming the degradation.