• DocumentCode
    3225392
  • Title

    Sampling strategies of deterministic sampling nonlinear filters based on invariant cubature formula

  • Author

    Qingpo Wu ; Yuancai Cong ; Wei Liu ; Shaolei Zhou

  • Author_Institution
    Dept. of Control Eng., Naval Aeronaut. & Eng. Inst., Yantai, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    4829
  • Lastpage
    4834
  • Abstract
    In order to improve the filter precision, this paper studies on sampling strategies of the deterministic sampling nonlinear filters. Firstly, we propose a general sampling points selection method based on invariant cubature formula. Secondly, several sampling strategies with 3 order and 5 order accuracy by the proposed method are obtained and analyzed. Finally, simulations based on the bearings-only tracking model and target tracking model show that the proposed sampling strategies are valid. Simulation results show that when using different sampling strategies, the estimation precision of the filters are quite different, and select the appropriate sampling strategies can improve the filter precision effectively.
  • Keywords
    estimation theory; nonlinear filters; signal sampling; target tracking; bearings-only tracking model; deterministic sampling nonlinear filter; filter estimation precision; invariant cubature formula; sampling strategy; target tracking model; Accuracy; Analytical models; Estimation error; Filtering theory; Finite element analysis; Mathematical model; Target tracking; Deterministic Sampling Filter; Invariant Cubature Formula; Sampling Strategy; Target Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162780
  • Filename
    7162780