• DocumentCode
    3216887
  • Title

    Survey of sampling nonlinear filter

  • Author

    Yang Feng ; Pan Quan ; Liang Yan ; Cheng Yongmei ; Liu Wei

  • Author_Institution
    Coll. of Autom., Northwestern Polytech. Univ., Xi´an, China
  • fYear
    2006
  • fDate
    7-11 Aug. 2006
  • Firstpage
    535
  • Lastpage
    540
  • Abstract
    A systemic overview of sampling nonlinear filter is presented. By careful analysis of sampling approach, the sampling nonlinear filter is grouped into two broad classes: deterministic sampling nonlinear filter and random sampling nonlinear filter. Then the general scheme of each group is presented. Under the general scheme of deterministic sampling nonlinear filter, unscented Kalman filter and Gaussian sun filter is described; under the general scheme of random sampling nonlinear filter, particle filter and its different variation is described. Furthermore, the application and development of sampling nonlinear filter are reviewed. The possible future directions of the sampling nonlinear filter are finally discussed.
  • Keywords
    Gaussian processes; Kalman filters; nonlinear filters; signal sampling; Gaussian sun filter; deterministic sampling nonlinear filter; particle filter; random sampling nonlinear filter; unscented Kalman filter; Artificial intelligence; Automation; Control systems; Educational institutions; Electronic mail; Nonlinear control systems; Nonlinear filters; Particle filters; Sampling methods; Sun; deterministic sampling; estimation; nonlinear filter; random sampling; sampling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2006. CCC 2006. Chinese
  • Conference_Location
    Harbin
  • Print_ISBN
    7-81077-802-1
  • Type

    conf

  • DOI
    10.1109/CHICC.2006.280629
  • Filename
    4060575