• DocumentCode
    952143
  • Title

    Improved particle filter for nonlinear system state

  • Author

    Liang, Justin ; Peng, X.-Y.

  • Author_Institution
    Dept. of Instrum. Sci. & Technol., Harbin Inst. of Technol., Harbin
  • Volume
    44
  • Issue
    21
  • fYear
    2008
  • Firstpage
    1275
  • Lastpage
    1277
  • Abstract
    A particle filter based on the similarity of the observation path is presented. When the likelihood has a bimodal nature, the particle filter leads to more accurate state estimates than SIR, APF, RPF and GPF.
  • Keywords
    nonlinear estimation; nonlinear filters; nonlinear systems; particle filtering (numerical methods); bimodal nature; nonlinear system state estimation; particle filter;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20082403
  • Filename
    4648993
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=952143