改进的粒子滤波算法性能分析  

The performance analysis of improved particle filter algorithms

作　　者：张军辉[1] 李响[2] 

机构地区：[1]河南大学计算机与信息工程学院,河南开封475001 [2]黄河水利职业技术学院学生处,河南开封475001

出　　处：《郑州轻工业学院学报（自然科学版）》2009年第2期73-75,共3页Journal of Zhengzhou University of Light Industry:Natural Science

摘　　要：对几种改进的粒子滤波算法进行了仿真分析.给出了PF-EKF,PF-UKF以及PF-MC3种典型的改进算法.在仿真实验中,针对一种典型的非线性系统,分别采用多种粒子滤波算法进行实验.结果证明,改进的粒子滤波算法性能明显提高.The simulation analysis has been performed to several improved particle filter algorithms. Three improved typical algorithms, PF - EKF, PF - UKF and PF - MC, are given on the basis of particle filter, A variety of particle filter algorithms in the experiment are respectively used for a typical non-linear system. The results show that the improved hybrid particle filter algorithms have better performance.

关 键 词：扩展卡尔曼滤波 粒子滤波 贝叶斯滤波 

分 类 号：TP319[自动化与计算机技术—计算机软件与理论]