• DocumentCode
    3433880
  • Title

    GLRT detection with unknown noise power in passive multistatic radar

  • Author

    Jun Liu ; Hongbin Li ; Himed, Braham

  • Author_Institution
    Stevens Inst. of Technol., Hoboken, NJ, USA
  • fYear
    2015
  • fDate
    19-24 April 2015
  • Firstpage
    5570
  • Lastpage
    5574
  • Abstract
    This paper considers the problem of passive detection with a multistatic radar system involving a non-cooperative illuminator of opportunity (IO) and multiple receive platforms. An unknown source signal is transmitted by the IO, which illuminates a target of interest. These receive platforms are geographically dispersed, and collect independent target echoes due to the illumination by the same IO. We propose a generalized likelihood ratio test (GLRT) detector to deal with the passive detection problem in the case of unknown noise power. Moreover, a closed-form expression for the probability of false alarm of this GLRT detector is given. Numerical simulations demonstrate that the proposed GLRT detector generally outperforms its natural counterparts.
  • Keywords
    object detection; passive radar; probability; radar detection; statistical testing; GLRT detection; closed-form expression; false alarm probability; generalized likelihood ratio test detection; multiple receive platforms; noncooperative illuminator-of-opportunity; passive detection problem; passive multistatic radar system; target detection; unknown noise power; unknown source signal; Detectors; Eigenvalues and eigenfunctions; Noise; Passive radar; Receivers; Sonar navigation; Passive radar; multistatic radar; target detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
  • Conference_Location
    South Brisbane, QLD
  • Type

    conf

  • DOI
    10.1109/ICASSP.2015.7179037
  • Filename
    7179037