• DocumentCode
    3415835
  • Title

    Covariance matrix estimation method in compound Gaussian sea clutter

  • Author

    Zhang Bo ; Luo Feng ; Zhang Lin-rang ; Liu Gao-gao

  • Author_Institution
    Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´an, China
  • Volume
    2
  • fYear
    2011
  • fDate
    24-27 Oct. 2011
  • Firstpage
    1915
  • Lastpage
    1917
  • Abstract
    As the radar resolution has increased, the statistics of the clutter have no longer been observed to be Gaussian. The performance of traditional detectors was decreased badly in non-Gaussian environment. This paper proposed a covariance matrix estimate algorithm of detector in non-Gaussian sea clutter. The technique is based on the fix-point(FP) estimator that the iterative initalization matrix is a toeplitz matrix. In this paper, the proposed technique estimator performance is compared with two other covariance matrix estimators in real sea clutter data.The simulation results show that the proposed method can enhance the detector performance in real sea clutter.
  • Keywords
    Gaussian processes; Toeplitz matrices; covariance matrices; iterative methods; marine radar; radar clutter; radar detection; radar resolution; Toeplitz matrix; compound Gaussian sea clutter; covariance matrix estimation; fix-point estimator; iterative initalization matrix; non-Gaussian sea clutter; radar detection; radar resolution; statistics; Clutter; Covariance matrix; Detectors; Maximum likelihood detection; Maximum likelihood estimation; Vectors; Covariance matrix; Toeplitz matrix; detector; normalized matched filter (NMF); sea clutter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar (Radar), 2011 IEEE CIE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8444-7
  • Type

    conf

  • DOI
    10.1109/CIE-Radar.2011.6159949
  • Filename
    6159949