• DocumentCode
    3502061
  • Title

    The hybrid law design based on interacting multiple model algorithm

  • Author

    Fu Xuan-li ; Fan Shi-jie ; Fan Hong-qi ; Xiao Huai-tie

  • Author_Institution
    Sci. & Technol. on Autom. Target Recognition Lab., Nat. Univ. of Defense Technol., Changsha, China
  • Volume
    02
  • fYear
    2013
  • fDate
    16-18 Aug. 2013
  • Firstpage
    887
  • Lastpage
    892
  • Abstract
    A hybrid differential game law DGL/H based on IMM algorithm is proposed for endgame randomly maneuvering target interception to solve the robustness of traditional single guidance law and the target state estimation delayed high sensitivity. IMM/DGL/H law takes the performance advantage of three differential game laws, DGL/C, DGL/1 and DGL/0 law, into account, employs the change of model probability of IMM algorithm to detect the evasive maneuver, and then achieves the guidance law online options in use of the detection time to weaken the estimation delay for homing performance. Simulation results show that IMM algorithm for acceleration estimation can obtain higher estimation accuracy. The hybrid differential game law DGL/ H, compared with a single guidance law, has a better homing performance.
  • Keywords
    differential games; probability; state estimation; DGL/0 law; DGL/1 law; DGL/C law; IMM algorithm; IMM/DGL/H law; acceleration estimation; detection time; endgame randomly maneuvering target interception; estimation accuracy; estimation delay; guidance law online options; homing performance; hybrid differential game law DGL/H; hybrid law design; interacting multiple model algorithm; model probability; single guidance law; target state estimation; Acceleration; Radio frequency; Sensitivity; IMM; differential game; hybrid differential game law; single shot kill probability; target interception; zero effort miss;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measurement, Information and Control (ICMIC), 2013 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4799-1390-9
  • Type

    conf

  • DOI
    10.1109/MIC.2013.6758103
  • Filename
    6758103