计算机应用研究2011，Vol.28Issue(3)：912-914,3.DOI:10.3969/j.issn.1001-3695.2011.03.033
粒子滤波自适应部分系统重采样算法研究
Study on adaptive partial systematic resampling algorithms of particle filter
摘要
Abstract
Sample degeneracy is a major problem of particle filter which is based on the sequential importance sampling.In order to solve this problem, the resampling algorithm is introduced in particle filter.Regular resampling algorithm can solve the sample degradation, but it easily lead to sample depletion and increase the computing complexity.This paper proposed adaptivepartial systematic resampling algorithm based on the partial resampling.The adaptive partial systematic resampling algorithm adjusted the resampling time adaptively, before the resampling, classified the particles according to the weight, resampled in the minority particles, so it not only reduced the resampling time and increased the diversity of particle.The simulation result indicates that compared with partial resampling it increases the particle filter performance and reduces the computation time.关键词
粒子滤波/重采样/部分重采样/自适应部分系统重采样分类
信息技术与安全科学引用本文复制引用
刘文静,于金霞,汤永利..粒子滤波自适应部分系统重采样算法研究[J].计算机应用研究,2011,28(3):912-914,3.基金项目
河南省科技计划资助项目(084300510065,092300410216) （084300510065,092300410216）
河南省教育厅自然科学基金资助项目(2008B520015) （2008B520015）
河南理工大学博士基金资助项目(B2008-61,B2009-91) （B2008-61,B2009-91）
