• DocumentCode
    2383058
  • Title

    Adaptive radar detection of distributed targets with orthogonal rejection

  • Author

    Hao, Chengpeng ; Yang, Jun ; Hou, Chaohuan

  • Author_Institution
    Inst. of Acoust., Chinese Acad. of Sci., Beijing, China
  • fYear
    2011
  • fDate
    23-27 May 2011
  • Abstract
    This paper deals with the problem of detecting distributed targets in the presence of homogeneous and partially homogeneous Gaussian disturbance with unknown covariance matrix. The proposed detectors improve the adaptive beam-former orthogonal rejection test (ABORT) idea to address detection of distributed targets, relying on the generalized likelihood ratio test (GLRT). Remarkably, the newly proposed detectors can guarantee the constant false alarm rate (CFAR) property with respect to the unknown quantities. The performance assessment, conducted by Monte Carlo simulation, has confirmed the effectiveness of the newly proposed detectors.
  • Keywords
    Gaussian processes; Monte Carlo methods; adaptive radar; array signal processing; covariance matrices; object detection; radar detection; Monte Carlo simulation; adaptive beamformer orthogonal rejection test; adaptive radar detection; constant false alarm rate; distributed target detection; generalized likelihood ratio test; orthogonal rejection; partially homogeneous Gaussian disturbance; Covariance matrix; Detectors; Radar detection; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference (RADAR), 2011 IEEE
  • Conference_Location
    Kansas City, MO
  • ISSN
    1097-5659
  • Print_ISBN
    978-1-4244-8901-5
  • Type

    conf

  • DOI
    10.1109/RADAR.2011.5960499
  • Filename
    5960499