DocumentCode
2481576
Title
A swarm intelligence optimization for particle filter
Author
Xiaolong, Liang ; Jinfu, Feng ; Qian, Li ; Taorong, Lu ; Bingjie, Li
Author_Institution
Coll. of Eng., Air Force Eng. Univ., Xian
fYear
2008
fDate
25-27 June 2008
Firstpage
1986
Lastpage
1991
Abstract
To the problem of particle degeneracy and needing a large sample size for particle diversification, the swarm intelligence methodology was introduced into particle filter. Artificial fish swarm algorithm was given to solve particle destitution by means of optimization of particle filtering. First, the principium of particle filtering and some problems about it were pointed out. Then blending artificial fish swarm algorithm into particle filtering makes particle swarm move to the region of high likelihood. As a result, the problem of particle destitution is solved. Examples testify the viability of the proposed approach.
Keywords
marine systems; mobile robots; multi-robot systems; particle filtering (numerical methods); artificial fish swarm algorithm; particle diversification; particle filtering; swarm intelligence optimization; Bayesian methods; Educational institutions; Filtering algorithms; Genetic algorithms; Humans; Intelligent control; Marine animals; Particle filters; Particle swarm optimization; State estimation; artificial fish swarm algorithm; mobile robot self-localization; particle filter; state estimation; swarm intelligence;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4593230
Filename
4593230
Link To Document