摘要
针对运动声阵列在有色噪声环境中的非线性滤波跟踪问题,提出一种确定性核粒子群的粒子滤波算法.该算法通过确定性初始化核粒子集、确定性后验概率密度函数及粒子群与核粒子集更新方式来提高跟踪的精度,并推导出该算法的理论误差性能下界.与传统的粒子滤波算法相比,仿真结果表明了所提出算法的有效性和优越性.
In order to study the nonlinear filter tracking problem of dynamic acoustic array in colored noise environment, the deterministic core particle swarm particle filter algorithm is proposed.The accuracy of the maneuvering target tracking is obviously enhanced by initialized deterministic core particle,deterministic probability density function and the renewed method of particle swarms and core particle,and the Cramer Rao low bound（CRLB） is also deduced.Compared with the traditional particle filter algorithm,the simulation results show the effectiveness and superiority of the presented algorithm.
出处
《控制与决策》
EI
CSCD
北大核心
2012年第5期741-746,共6页
Control and Decision
关键词
确定性核粒子群
粒子滤波
运动声阵列跟踪
非线性滤波
deterministic core particle swarm
particle filter
dynamic acoustic array tracking
non-linear filter
作者简介
刘亚雷（1984-），男，博士，从事声目标识别、定位及跟踪技术的研究；
顾晓辉（1964-），男，教授，博士生导师，从事武器弹药精确化、智能化等研究．
