• DocumentCode
    1928870
  • Title

    Multiple-target localization and estimation of MIMO radars using Capon and APES techniques

  • Author

    Xia, Wei ; He, Zishu

  • Author_Institution
    Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
  • fYear
    2008
  • fDate
    26-30 May 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The concept of multiple-input multiple-output (MIMO) radar is recently proposed inspired by recent advances in MIMO communications. A recently proposed statistical MIMO radar configuration is considered here, in which the transmit array antennas are widely spaced to enable spatial diversity with respect to the targets, while the receiver is an uniform linear array with the elements spaced half a wavelength apart to enable direction finding. In this proposal, this signal model is extended to the multiple-target case, and the problem of multiple-target localization and estimation is considered. The Capon and APES techniques for multiple-target localization and estimation of MIMO radar systems are proposed in this paper. The performance of the proposed method is validated by numerical simulations.
  • Keywords
    MIMO communication; antenna arrays; estimation theory; numerical analysis; radar; radar antennas; target tracking; transmitting antennas; APES estimation; Capon techniques; MIMO radar estimation; direction finding; multiple-input multiple-output radar; multiple-target localization; numerical simulations; spatial diversity; statistical MIMO radar configuration; transmit array antennas; uniform linear array; Amplitude estimation; Directive antennas; Linear antenna arrays; MIMO; Maximum likelihood estimation; Multiple signal classification; Phase estimation; Proposals; Radar antennas; Receiving antennas; APES; Capon; MIMO radars; estimation; localization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2008. RADAR '08. IEEE
  • Conference_Location
    Rome
  • ISSN
    1097-5659
  • Print_ISBN
    978-1-4244-1538-0
  • Electronic_ISBN
    1097-5659
  • Type

    conf

  • DOI
    10.1109/RADAR.2008.4720811
  • Filename
    4720811