• DocumentCode
    3564545
  • Title

    Systematic biases estimation method based on combined PSO and PDA

  • Author

    Zhou Lin ; Pan Quan ; Liang Yan ; Guan Chao

  • Author_Institution
    Sch. of Autom., Northwestern Polytech. Univ., Xi´an, China
  • fYear
    2013
  • Firstpage
    4692
  • Lastpage
    4697
  • Abstract
    In clutter background, in order to solve some problems including measurements echoes and systematic biases randomization, a new on-line systematic biases estimation method is proposed under dense clutters. Firstly, the association probabilities of measurements echoes are obtained by PDA method. Then, the objective function of optimization is constructed using association probabilities. Finally, the systematic biases are estimated by PSO optimization operation. The proposed algorithm considers the variety of systematic biases particles of PSO and measurements echoes of PDA, synthetically. Simulation results show that the proposed algorithm is a good method for systematic biases estimation in clutters.
  • Keywords
    estimation theory; measurement errors; particle swarm optimisation; probability; sensor fusion; PDA method; PSO optimization operation; association probabilities; clutter background; measurements echoes; online systematic biases estimation method; particle swarm optimization; probability data association; systematic biases randomization; Clutter; Educational institutions; Estimation; Particle swarm optimization; Personal digital assistants; Radar tracking; Systematics; Biases Estimation; Particle Swarm Optimization (PSO); Probability Data Association (PDA); Systematic biases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2013 32nd Chinese
  • Type

    conf

  • Filename
    6640249