• DocumentCode
    1720622
  • Title

    An ASEKF algorithm for 2D and 3D radar registration

  • Author

    Liu Jianfeng ; Zuo Yan ; Xue Anke

  • Author_Institution
    Inst. of Inf. & Control, Hangzhou Dianzi Univ., Hangzhou, China
  • fYear
    2013
  • Firstpage
    4758
  • Lastpage
    4761
  • Abstract
    An augmented state extended Kalman filter (ASEKF) method is proposed to registering 2D radar and 3D radar. An augmented state model is constructed to get the measurements of the 2D radar and 3D radar. It can realize the registration of 2D radar and 3D radar for jointed estimation of state and systematic errors. The simulation results show that this method is efficiency.
  • Keywords
    Kalman filters; radar signal processing; 2D radar registration; 3D radar registration; ASEKF algorithm; augmented state extended Kalman filter; augmented state model; augmented state extended Kalman filter; radar networking; spatial registration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2013 32nd Chinese
  • Conference_Location
    Xi´an
  • Type

    conf

  • Filename
    6640261