• DocumentCode
    3540907
  • Title

    Detection Performance of MIMO Radar with Un-Known Parameters

  • Author

    Fei Wang ; Ning Cao ; Weiwei Liu

  • Author_Institution
    Dept. of Inf. & Commun. Eng., Hohai Univ., Nanjing, China
  • fYear
    2012
  • fDate
    21-23 Sept. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Multiple-input multiple-output radar uses multiple antennas at both the transmitter and receiver to improve the detection performance. In this paper, the problem of target detection with unknown parameters is considered for MIMO radars. We derive the close-form of the probability of detection and the probability of false alarm for the MIMO radar system with unknown parameters in totally correlated target echo signals case and arbitrary correlated target echo signals case, respectively. Performance of these detectors has been evaluated analytically. Simulation results show that in the totally uncorrelated target echo signals case, the detector has nothing to do with the transmission power, while in the arbitrarily correlated target echo signals case, the performance of the detector will be greatly influenced, the partial correlation between target echo signals will degrade the performance of any detector designed for completely correlated target echo signals or for independent target echo signals.
  • Keywords
    MIMO radar; correlation theory; object detection; performance evaluation; probability; radar detection; radar receivers; radar transmitters; MIMO radar detection; arbitrary correlated target echo signal; close-form false alarm probability detection; independent target echo signal; multiple antenna; multiple-input multiple-output radar detection; partial correlation; performance evaluation; power transmission; radar receiver; radar transmitter; target detection; Correlation; Covariance matrix; Detectors; MIMO; MIMO radar; Manganese; Radar antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing (WiCOM), 2012 8th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-9646
  • Print_ISBN
    978-1-61284-684-2
  • Type

    conf

  • DOI
    10.1109/WiCOM.2012.6478496
  • Filename
    6478496