• DocumentCode
    2158969
  • Title

    Application of UKF Algorithm for Target Tracking in DTV-Based Passive Radar

  • Author

    Cai Miaohong ; He Feng ; Wu Lenan

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Southeast Univ., Nanjing, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper the geometry of DTV-based passive radar is studied, with the form of the ambiguity function (AF) of the system given to get TDOA and Doppler parameters, and the state and measurement models established. Then the unscented Kalman filter (UKF) method with TDOA/Doppler measurements is presented for target tracking. The simulation results show that the proposed algorithm can effectively locate and track target, and has better location and velocity estimation accuracy compared with EKF method.
  • Keywords
    Kalman filters; digital television; passive radar; radar signal processing; radar tracking; target tracking; DTV-based passive radar; Doppler parameters; TDOA; digital television; target tracking; unscented Kalman filter; Digital TV; Doppler measurements; Doppler shift; Passive radar; Radar scattering; Radar tracking; Signal processing algorithms; Spaceborne radar; Target tracking; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5304230
  • Filename
    5304230
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2158969