• DocumentCode
    3204055
  • Title

    An adaptive compensation of moving target doppler shift for airborne radar

  • Author

    Xiujuan, Hu ; Jiahao, Deng ; Wushan, Cheng ; Zhifeng, Zhou ; Huiping, Sang

  • Author_Institution
    Coll. of Mech. Eng., Shanghai Univ. of Eng. Sci., Shanghai
  • fYear
    2009
  • fDate
    7-14 March 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Accurate estimation and compensation of the moving target Doppler shift are essential for the moving target detection of the airborne radar system. In this paper, an algorithm for the real-time estimation and compensation of the moving target Doppler shift due to the moving radar platform and target is presented for the airborne stepped frequency radar system. Under the condition of a small number of sample points, this new algorithm employs the twice compensation method in order to estimate and compensate the mean Doppler shift using high speed DSP based on Doppler FFT processing. Using simulated radar data, the moving target Doppler spectrum is measured and analyzed. The results of simulations show that this new algorithm can reduce the number of sample points and enhance the anti-interfering performance yet still obtain good Doppler estimation and compensation.
  • Keywords
    Doppler radar; airborne radar; radar theory; Doppler estimation; adaptive compensation; airborne radar; moving target Doppler shift; moving target detection; Airborne radar; Digital signal processing; Doppler radar; Doppler shift; Frequency estimation; Motion estimation; Radar antennas; Radar clutter; Radar imaging; Radar measurements; Airborne radar; Doppler compensation; Doppler shift adaptive compensation; stepped frequency pulse; twice compensation algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace conference, 2009 IEEE
  • Conference_Location
    Big Sky, MT
  • Print_ISBN
    978-1-4244-2621-8
  • Electronic_ISBN
    978-1-4244-2622-5
  • Type

    conf

  • DOI
    10.1109/AERO.2009.4839473
  • Filename
    4839473