中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A fine resampling algorithm for general particle filters

文献类型:会议论文

作者CaoBei ; MaCaiWen ; LiuZhenTao
出版日期2011
会议名称4th international congress on image and signal processing, cisp 2011
会议日期october 15, 2011 - october 17, 2011
会议地点shanghai, china
关键词particle filter fine resampling particle degeneracy sample impoverishment optimized combination
页码2695-2699
通讯作者cao bei
英文摘要resampling algorithm for particle filters aimed at solving particle degeneracy problem but causing sample impoverishment. to maintain the diversity of the particle system and thus enhance the accuracy of state estimation in the nonlinear/non-gaussian models, the paper proposed an improved resampling algorithm for general particle filters, called as pf-fr (particle filters with fine resampling). by introducing distance-comparing process and generating new particle based on optimized combination scheme, pf-fr algorithm overcomes the defects of general resampling algorithm. simulations prove that the proposed pf-fr algorithm can effectively avoid sample impoverishment and simultaneously solve the degeneracy problem, thereby improving the estimation accuracy evidently. as a consequence, pf-fr algorithm is an effective alternative to resampling algorithm.
收录类别EI
产权排序1
会议主办者donghua university
会议录proceedings - 4th international congress on image and signal processing
语种英语
ISBN号9781424493067
源URL[http://ir.opt.ac.cn/handle/181661/19989]  
专题西安光学精密机械研究所_光电测量技术实验室
推荐引用方式
GB/T 7714
CaoBei,MaCaiWen,LiuZhenTao. A fine resampling algorithm for general particle filters[C]. 见:4th international congress on image and signal processing, cisp 2011. shanghai, china. october 15, 2011 - october 17, 2011.

入库方式: OAI收割

来源:西安光学精密机械研究所

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