• DocumentCode
    3415965
  • Title

    Airborne GMTI radar target tracking by an effect UKF filter

  • Author

    Liu, Junwei ; Ren, Qingan ; Niu, Junqing ; Wang, Zhihong

  • Author_Institution
    East China Res. Inst. of Electron. Eng., Hefei, China
  • Volume
    2
  • fYear
    2011
  • fDate
    24-27 Oct. 2011
  • Firstpage
    1939
  • Lastpage
    1942
  • Abstract
    Tracking ground targets with GMTI sensors has been considered a challenging problem. This paper introduces a reformative unscented kalman filter for airborne GMTI radar tracking problem. A novel airborne GMTI radar observation model is proposed by analizing the airborne radar observations. To reduce the nonlinear relation between the Doppler observation and target state, Doppler observation is defined by a predigested distribution function. Experimental results show that the proposed approach is effective for airborne GMTI radar tracking with a low computation burden.
  • Keywords
    Kalman filters; airborne radar; radar tracking; target tracking; GMTI sensors; UKF filter; airborne GMTI radar target tracking; ground targets tracking; unscented kalman filter; Airborne radar; Computational modeling; Radar detection; Radar measurements; Radar tracking; Target tracking; GMTI; SAR; Tracking System; UKF;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar (Radar), 2011 IEEE CIE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8444-7
  • Type

    conf

  • DOI
    10.1109/CIE-Radar.2011.6159955
  • Filename
    6159955