An Improved Particle Filter Algorithm Based On Target Tracking In Wireless Sensor Network
Particle filter (PF) is an important way for target tracking in wireless sensor network (WSN). In the paper we proposed an improved particle filter algorithm which outperforms general PF when target suddenly changes movement direction. Our algorithm used estimated direction of motion based on the current measurements to optimize the prediction in PF. It modified the deviation of estimated mean of particle steam that is possibly produced by sudden changes in direction. Simulation results show that the new particle filter algorithm can achieve better tracking performance than other filter algorithms.
WSN UPF prediction of direction target tracking
Jun LI Chen XU
School of Electronic Information, university of Nan Tong Nan Tong, China
国际会议
南宁
英文
187-191
2010-10-13（万方平台首次上网日期，不代表论文的发表时间）