• DocumentCode
    3348765
  • Title

    Small ship detection with high frequency radar using an adaptive ocean clutter pre-whitened subspace method

  • Author

    Wang, Jian ; Kirlin, R. Lynn ; Lu, Xiaoli ; Dizaji, Reza

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada
  • fYear
    2002
  • fDate
    4-6 Aug. 2002
  • Firstpage
    92
  • Lastpage
    95
  • Abstract
    We propose a novel scheme for using high frequency ocean surveillance radar (HFOSR) to detect slow weak target echoes embedded in temporally correlated sea clutter having a continuous spectrum. General Doppler processing CFAR detection of ships in ocean surveillance radar is usually inhibited by the continuous high order sea clutter. Conventional subspace methods can be utilized to enhance the detection, but they deteriorate dramatically in the presence of correlated sea clutter. In our paper an adaptive sea clutter filtering is introduced which improves the threshold and accuracy of the subspace detection method. Both simulated and real ship targets are used to verify the effectiveness of our proposed method.
  • Keywords
    adaptive filters; adaptive signal detection; correlation methods; filtering theory; radar clutter; radar detection; search radar; ships; CFAR detection; Doppler processing; HF radar; HFOSR; adaptive ocean clutter pre-whitened subspace method; adaptive sea clutter filtering; continuous spectrum; correlated sea clutter; high frequency ocean surveillance radar; high order sea clutter; real ship targets; simulated ship targets; slow weak target echoes detection; small ship detection; subspace detection method accuracy; subspace detection method threshold; temporally correlated sea clutter; Doppler radar; Frequency; Marine vehicles; Oceans; Radar clutter; Radar detection; Radar scattering; Radar tracking; Sea surface; Surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2002
  • Print_ISBN
    0-7803-7551-3
  • Type

    conf

  • DOI
    10.1109/SAM.2002.1191006
  • Filename
    1191006