• DocumentCode
    3213982
  • Title

    Optimization design of the ship-borne warning helicopter guided missile attack search parameters optimization

  • Author

    Zhang Lin ; Ma Liang

  • Author_Institution
    Dept. of Missile, Dalian Naval Acad., Dalian, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    1940
  • Lastpage
    1945
  • Abstract
    Ship-borne warning helicopter in the search target process need to determine load machine search height and airborne radar beam Angle of pitch. Based on airborne radar search principle, the establishment of radar load perception area model, combined arms constraint sure to meet the requirements of search parameters. Considering the largest airborne radar search distance and target cumulative detection probability, establish airborne radar detection probability model to satisfy the detection probability given the circumstances, to get to the maximum detection range of an attack according to the search parameters the ship-borne warning helicopter flight height and beam Angle of pitch range. And gives the flight altitude and optic axis dip Angle range of use and control method.
  • Keywords
    airborne radar; helicopters; military radar; missile guidance; probability; radar detection; airborne radar beam angle of pitch; airborne radar detection probability model; airborne radar search distance; airborne radar search principle; arms constraint; flight altitude; load machine search height; optic axis dip angle range; radar load perception area model; search target process; ship-borne warning helicopter guided missile attack search parameter optimization design; target cumulative detection probability; Airborne radar; Atmospheric modeling; Helicopters; Load modeling; Radar antennas; Radar detection; Optimization design; Search parameters; Ship-borne warning helicopter;
  • 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.2015.7162237
  • Filename
    7162237