Title :
Application of Particle Filter for Target Tracking in Wireless Sensor Networks
Author :
Dong Hui-ying ; Cao Bin ; Yang Yue-ping
Author_Institution :
Shenyang Ligong Univ., Shenyang, China
Abstract :
In the application of particle filter algorithm for target tracking in wireless sensor networks, an Auxiliary particle filter (APF) and Gaussian particle filter (GPF) are discussed to solve the particle degradation problem of Particle Filter (PF). By introducing an auxiliary variable and two rounds weighted processes, APF makes the particle weights stable and relaxes particle degradation. GPF uses a Gaussian density function to approximately estimate posterior probability distribution. It doesn´t require re-sampling, and there is no particle degradation. Therefore, three algorithm are applied to single-target tracking in wireless sensor networks. Finally, the comparison of three algorithm´s performance in target tracking is presented and the simulation results are also given. From these results we can see that APF has better accuracy than PF algorithm and GPF has better accuracy and real-time performance than PF algorithm.
Keywords :
Gaussian processes; particle filtering (numerical methods); target tracking; wireless sensor networks; Gaussian density function; Gaussian particle filter; auxiliary particle filter; particle filter algorithm; probability distribution; single-target tracking; wireless sensor networks; Degradation; Gaussian distribution; Gaussian processes; Mobile communication; Mobile computing; Monitoring; Particle filters; State estimation; Target tracking; Wireless sensor networks; Auxiliary particle filter; Gaussian particle filter; particle filter; target tracking;
Conference_Titel :
Communications and Mobile Computing (CMC), 2010 International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-6327-5
Electronic_ISBN :
978-1-4244-6328-2
DOI :
10.1109/CMC.2010.228