Research on Particle Filtering Based on Genetic Algorithm

被引：5

作者：

Wang Ping ^{[1
]}

Zhang Jinghai ^{[1
]}

Cui Guodong ^{[1
]}

机构：

[1] Tianjin Univ, Sch Elect Engn & Automat, Tianjin 300072, Peoples R China

来源：

2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2010年

关键词：

Particle Filtering; Genetic Algorithm; Virtual Realization;

D O I：

10.1109/WCICA.2010.5554950

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Genetic algorithm was introduced into the particle filtering in this paper. With the ability of global searching and optimizing, genetic algorithm overcomes the phenomenon of degeneracy and sample impoverishment. By simulation, the results show that the use of genetic algorithm to particle filtering is feasible, and this method is superior to the traditional re-sampling algorithm. Finally, the virtual realization of a standard particle filtering and genetic sampling particle filtering was made by LabVIEW. The experimental results proved that the genetic sampling particle filtering is better.

引用

页码：4663 / 4666

页数：4