• DocumentCode
    3269871
  • Title

    A Track-to-Track Association Approach with a 2-Dimensional Discrete Particle Quantum Swarm Optimization Algorithm for Radar Network

  • Author

    Wang Xuefei ; Shang Chaoxuan ; Wang Changsheng ; Zhang Fang

  • Author_Institution
    Ordnance Eng. Coll., Shijiazhuang, China
  • fYear
    2013
  • fDate
    16-18 Jan. 2013
  • Firstpage
    200
  • Lastpage
    203
  • Abstract
    In this paper, a two-dimensional discrete quantum particle swarm optimization(2D-DQPSO) algorithm is proposed to solve track-to-track association (TTTA) problem in radar network. To make the DQPSO algorithm effective for solving TTTA, some key technologies including a special coding method of particles and corresponding operators for updating the position of particles are proposed and defined. The performance of the proposed 2D-DQPSO algorithm to solve TTTA problem is verified through computer simulation.
  • Keywords
    encoding; particle swarm optimisation; quantum theory; radar tracking; sensor fusion; target tracking; 2D discrete particle quantum swarm optimization algorithm; 2D-DQPSO algorithm; coding method; computer simulation; multisensor multitarget tracking; radar network; track-to-track association approach; Particle swarm optimization; Radar tracking; Sensors; Sociology; Statistics; Target tracking; Multi-sensor Multi-target Tracking; Quantum Particle Swarm Optimization; Track Association;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4673-4893-5
  • Type

    conf

  • DOI
    10.1109/ISDEA.2012.53
  • Filename
    6454653