• DocumentCode
    1700840
  • Title

    Research on particle filtering based on genetic algorithm

  • Author

    Ping, Wang ; Jinghai, Zhang ; Guodong, Cui

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
  • fYear
    2010
  • Firstpage
    4663
  • Lastpage
    4666
  • Abstract
    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.
  • Keywords
    genetic algorithms; particle filtering (numerical methods); LabVIEW; genetic algorithm; genetic sampling particle filtering; resampling algorithm; virtual realization; Automation; Conferences; Electrical engineering; Genetics; MATLAB; Particle filters; Genetic Algorithm; Particle Filtering; Virtual Realization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5554950
  • Filename
    5554950