空军工程大学学报（自然科学版）Issue(6)：82-86,5.DOI:10.3969/j.issn.1009-3516.2014.06.018
裂变优选重采样粒子滤波算法
A Study of Bootstrap Particle Filtering with Fission and Selection
摘要
Abstract
Aimed at solving the problem of particle impoverishment introduced by resampling while relie-ving degeneracy ,a method of fission with selection bootstrap particle filtering (FSBPF)is proposed.At the moment of resampling,effective particles are picked up.The effective particles at this moment corre-sponding to the particles at last moment are called fission elder generation particles.The number of fission filial generation particles is in direct proportion to the weight of each effective particle,and the filial gener-ation particles are subj ected to a filtering and a generation selection .After an iteration,the weights of the new particles can be got according to the measures and the weight formula,and particles with larger weight are chosen to replace the ineffective particles at this time.The results of Monte Carlo simulations show:comparing with the fission bootstrap particle filtering (FBPF)and the random resampling particle filtering (RRPF),FSBPF are more precise in filtering results,increased in effective particles and lower in the speed of degeneracy.关键词
裂变/有效粒子/权值优选Key words
fission/effective particle/weight selected分类
信息技术与安全科学引用本文复制引用
危璋,冯新喜,毛少锋..裂变优选重采样粒子滤波算法[J].空军工程大学学报（自然科学版）,2014,(6):82-86,5.基金项目
陕西省自然科学基金资助项目(2011JM8023) （2011JM8023）
