A new distributed target tracking algorithm,Distributed Unscented Particle Filter(DUPF),is proposed to improve the usual distributed particle filter methods with more particles and more information communication between the two nodes.In consideration of the enengy-limited sensor network and the imperfect communication,a few node calculations are used in this thesis to get a better tracking results for manoeuvering targets.The Unscented Kalman Filter(UKF) in new DUPF is used to improve the particle filter to generate the proposed particle distribution,so the on line tracking for a target can be realized by the DUPF.A simulation experiment indicates that the number of particles needed by DUPF is only 25% that of the common distributed particle filter,which shows that DUPF has gotten more accurate tracking results with less communication nodes and energy cosumption.