• DocumentCode
    1795158
  • Title

    WTA model study of air defense missile system based on particle algorithm

  • Author

    Liu Pengyuan ; Jiang Xiong ; Zhang Wangwei

  • Author_Institution
    Ordnance Eng. Coll., Shijiazhuang, China
  • fYear
    2014
  • fDate
    8-10 Aug. 2014
  • Firstpage
    1534
  • Lastpage
    1538
  • Abstract
    In order to solve the current target distribution of large amount of calculation, and the problem of real-time computing, we propose a new target assignment model to cooperate with the fleet of aircraft air defense firepower system. The model is based on a modern air defense stopped to shoot as the main BVR(Beyond Visual Range) air combat missions, the distance between the small fleet of aircraft characteristics, ignoring differences in the relative distance between the target aircraft in the fleet, created from the perspective of weapon types, thus reducing Solutions for small scale. Suppose a combat scenario, the general target distribution models and new models were analyzed and compared by particle swarm optimization algorithm, the results show that the model has a small amount of calculation, solving speed characteristics proved scientific and feasibility of the model.
  • Keywords
    military aircraft; missiles; particle swarm optimisation; BVR; WTA model study; air defense missile system; aircraft air defense firepower system; aircraft characteristics; beyond visual range air combat missions; general target distribution models; particle swarm optimization algorithm; real-time computing problem; speed characteristics; target assignment model; weapon types; Aircraft; Atmospheric modeling; Fires; Missiles; Resource management; Vehicles; Air defense missile weapon system; Model; Particle Swarm Optimization; Target Allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4799-4700-3
  • Type

    conf

  • DOI
    10.1109/CGNCC.2014.7007420
  • Filename
    7007420