• DocumentCode
    596767
  • Title

    DOD and DOA tracking algorithm for bistatic MIMO radar using PASTD without additional angles pairing

  • Author

    Hailang Wu ; Xiaofei Zhang

  • Author_Institution
    Coll. of Electron. & Inf. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2012
  • fDate
    18-20 Oct. 2012
  • Firstpage
    1132
  • Lastpage
    1136
  • Abstract
    In this paper, we mainly discuss projection approximation and subspace tracking of deflation(PASTd) for direction of departure (DOD) and direction of arrival (DOA) tracking multiple targets in bistatic multiple-input multiple-output (MIMO) radar. The research on DOD and DOA tracking of moving targets in bistatic MIMO radar has been reported rarely. This proposed algorithm can obtain signal subspace by PASTd without computing eigen-value decomposition of the cross correlation matrix or singular value decomposition of the received data, which reduces much computational load, it also can get DOD and DOA paired without additional consideration in bistatic MIMO radar. Simulation results verify the usefulness of our algorithm in tracking moving targets.
  • Keywords
    MIMO radar; direction-of-arrival estimation; eigenvalues and eigenfunctions; matrix algebra; singular value decomposition; DOA tracking algorithm; DOD; PASTD; bistatic MIMO radar; bistatic multiple-input multiple-output radar; cross correlation matrix; direction-of-arrival estimation; eigen-value decomposition; singular value decomposition; Direction of arrival estimation; Educational institutions; Estimation; MIMO radar; Radar tracking; Target tracking; US Department of Defense;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-1743-6
  • Type

    conf

  • DOI
    10.1109/ICACI.2012.6463350
  • Filename
    6463350