数据采集与处理2013，Vol.28Issue(3)：342-346,5.
基于粒子筛选处理的粒子滤波改进算法
Improved Particle Filter Based on New Particle Selection and Process Strategy
赵义正1
作者信息
- 1. 电子工程学院607室,合肥,230037
- 折叠
摘要
Abstract
To solve the particle impoverishment problem in particle filter (PF),an improved algorithm is proposed based on a new particle selection and process strategy.By choseing filtering interval,the predicted particles falling into the desired interval are accepted,and the others outside the interval are corrected by concentrating them from remote areas to high likelihood areas of probability density function.Experimental results show that the new algorithm increases the filtering accuracy,compared with standard PF.Meanwhile,as the number of effective particle increases,the requirement of resampling operation is decreased,thus reducing the computational time.关键词
粒子滤波/似然函数/粒子贫化Key words
particle filter/likelihood function/sample impoverishment分类
信息技术与安全科学引用本文复制引用
赵义正..基于粒子筛选处理的粒子滤波改进算法[J].数据采集与处理,2013,28(3):342-346,5.
