• 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