Harmony Search Resampling Particle Filter

被引：0

作者：

Sun Qiao ^{[1
]}

Zhang Sheng-xiu ^{[1
]}

Cao Li-jia ^{[2
]}

Li Xiao-feng ^{[1
]}

机构：

[1] Xian Res Inst Hitech, Dept Automat Control, Xian 710025, Peoples R China

[2] Sichuan Univ Sci & Engn, Coll Automat & Elect Informat, Zigong 643000, Peoples R China

来源：

PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC) | 2016年

关键词：

Particle Filter; Resampling; Harmony Search; Impoverishment; Degeneration;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Although particle filters have been widely applied from various fields, the impoverishment and degeneration of particle are important factors affecting the performance of particle filters. In this paper, harmony search was introduced into the particle resampling to enhance the algorithm. By updating the vector of harmony memory through the weight based multinomial resampling, the impoverishment and degeneration of particle was efficiently reduced. Experimental results showed that the harmony search resampling particle filters had more accurate filtering results than other typical filters such as system resampling filter.square

引用

页码：4608 / 4611

页数：4

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