• DocumentCode
    669444
  • Title

    Gaussian distribution resampling algorithm of particle filter

  • Author

    Hyun-Duck Choi ; Choon-Ki Ahn ; Myo-Taeg Lim

  • Author_Institution
    Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
  • fYear
    2013
  • fDate
    20-23 Oct. 2013
  • Firstpage
    738
  • Lastpage
    740
  • Abstract
    This paper proposes a new resampling algorithm - Gaussian distributed resampling (GDR) algorithm - in order to solve particle impoverishment phenomenon in particle filter. The key idea of proposed algorithm generates the new particles based on Gaussian distribution, which depend on the size of weight in resampling process. In comparison with established resampling algorithms, diversity of particles can be maintained, and thus the proposed algorithm avoids the sample impoverishment.
  • Keywords
    Gaussian distribution; particle filtering (numerical methods); sampling methods; Gaussian distributed resampling algorithm; particle filter; particle impoverishment phenomenon; Gaussian distribution; ISO standards; Mobile robots; Particle filter; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2013 13th International Conference on
  • Conference_Location
    Gwangju
  • ISSN
    2093-7121
  • Print_ISBN
    978-89-93215-05-2
  • Type

    conf

  • DOI
    10.1109/ICCAS.2013.6704010
  • Filename
    6704010