一种改进粒子滤波的无线传感器网络目标跟踪算法

Target tracking algorithm for WSN based on improved particle filter

针对粒子滤波算法中粒子多样性退化缺陷,为提高无线传感器网络(WSN)目标跟踪精度,提出一种改进粒子滤波的WSN目标跟踪方法,通过对采样产生的粒子集合进行选择、交叉和变异等遗传操作,获得更多优良粒子,实现了粒子集合的多样性。仿真结果表明,相对于其它目标跟踪算法,改进粒子滤波算法提高了WSN目标跟踪精度,有效减少目标跟踪均方根误差,目标定位更加准确。

According to the particle filter algorithm particle diversity degradation defect and to improve the wireless sensor network( WSN) target tracking accuracy,this paper put forward a target tracking method for WSN based on improved particle filter method. the sampling time of particle set are selected,crossed and mutated operation to get more fine particles,the particle ensemble diversity is realized to accelerate getting sensor node next estimated position. The simulation results show that,compared to other target tracking algorithm,the proposed method improves the WSN target tracking accuracy,greatly reduces the RMS error of target tracking and get more accurate for target positioning.