计算机应用研究2013，Vol.30Issue(3)：748-750,3.DOI:10.3969/j.issn.1001-3695.2013.03.026
一种改进重采样的粒子滤波算法
Particle filter algorithm based on improved resampling
摘要
Abstract
In order to solve the loss of particle diversity exiting in resampling process of particle filter, this paper presented a particle filter algorithm based on improved resampling. It classified the particles to different groups according to partial resampling. It kept the particles with medium weight values same, and combined the other two groups with high and low weight values linearly and randomly to generate new particles using Thompson-Taylor algorithm. Experimental results show that the improved algorithm can reduce computational complexity and keep the diversity of particles and it also enhances the performance of filter.关键词
局部重采样/Thompson-Taylor算法/粒子滤波Key words
partial resampling/ Thompson-Taylor algorithm/ particle filter分类
信息技术与安全科学引用本文复制引用
常天庆,李勇,刘忠仁,董田沼..一种改进重采样的粒子滤波算法[J].计算机应用研究,2013,30(3):748-750,3.基金项目
军队科研预研项目 （）
