Institutional Repository of Coll Elect & Informat Engn
Rao-Blackwellized particle cardinality balanced multi-target multi-Bernoulli filter | |
Chen, Hui1,2![]() | |
2016-02-01 | |
发表期刊 | Kongzhi Lilun Yu Yingyong/Control Theory and Applications
![]() |
ISSN | 10008152 |
卷号 | 33期号:2页码:146-153 |
摘要 | The multi-Bernoulli filter propagates approximately the multi-target posterior density so that solving target tracking problem and extracting target state based on random finite set are more tractable. Considering a state space model whose state can be divided into linear and nonlinear part, this paper analyzes the Rao-Blackwell theorem based filtering algorithm. Then, using the corresponding algorithm of decorrelation of state noises, we presents the filtering formula for linear state. Moreover, this paper proposes a Rao-Blackwellized particle cardinality balanced multi-target multi-Bernoulli filter. This algorithm firstly implements the particle filtering for multi-Bernoulli nonlinear state, and the filtering formula of multi-Bernoulli linear state is derived afterwards based on the nonlinear filtering result. The proposed filter can sample particle in a lower dimensional state space and improve the overall target tracking performance. The simulation results of the multi-target tracking show the effectiveness of the proposed approach. © 2016, Editorial Department of Control Theory & Applications South China University of Technology. All right reserved. |
关键词 | Clutter (information theory) Distributed computer systems Monte Carlo methods Set theory State space methods Multi-Bernoulli Multi-target tracking Particle filter Random finite sets Rao-Blackwell |
DOI | 10.7641/CTA.2016.50588 |
收录类别 | EI |
语种 | 中文 |
出版者 | South China University of Technology |
EI入藏号 | 20161702304865 |
EI主题词 | Target tracking |
EI分类号 | 716.1 Information Theory and Signal Processing - 921 Mathematics - 921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory - 922.2 Mathematical Statistics |
来源库 | Compendex |
分类代码 | 716.1 Information Theory and Signal Processing - 722.4 Digital Computers and Systems - 921 Mathematics - 921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory - 922.2 Mathematical Statistics |
引用统计 | 无
|
文献类型 | 期刊论文 |
条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/112980 |
专题 | 电气工程与信息工程学院 |
作者单位 | 1.Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi'an Jiaotong University, Xi'an; Shaanxi; 710049, China; 2.School of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou; Gansu; 730050, China |
第一作者单位 | 兰州理工大学 |
推荐引用方式 GB/T 7714 | Chen, Hui,Han, Chong-Zhao. Rao-Blackwellized particle cardinality balanced multi-target multi-Bernoulli filter[J]. Kongzhi Lilun Yu Yingyong/Control Theory and Applications,2016,33(2):146-153. |
APA | Chen, Hui,&Han, Chong-Zhao.(2016).Rao-Blackwellized particle cardinality balanced multi-target multi-Bernoulli filter.Kongzhi Lilun Yu Yingyong/Control Theory and Applications,33(2),146-153. |
MLA | Chen, Hui,et al."Rao-Blackwellized particle cardinality balanced multi-target multi-Bernoulli filter".Kongzhi Lilun Yu Yingyong/Control Theory and Applications 33.2(2016):146-153. |
条目包含的文件 | 条目无相关文件。 |
个性服务 |
查看访问统计 |
谷歌学术 |
谷歌学术中相似的文章 |
[Chen, Hui]的文章 |
[Han, Chong-Zhao]的文章 |
百度学术 |
百度学术中相似的文章 |
[Chen, Hui]的文章 |
[Han, Chong-Zhao]的文章 |
必应学术 |
必应学术中相似的文章 |
[Chen, Hui]的文章 |
[Han, Chong-Zhao]的文章 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论