• DocumentCode
    1158259
  • Title

    Application of the radon transform to detect small-targets in sea clutter

  • Author

    Carretero-Moya, J. ; Gismero-Menoyo, J. ; Asensio-Lopez, A. ; Blanco-del-Campo, A.

  • Author_Institution
    Dept. de Senales, Sist. y Radiocomun., Univ. Politec. de Madrid, Madrid
  • Volume
    3
  • Issue
    2
  • fYear
    2009
  • fDate
    4/1/2009 12:00:00 AM
  • Firstpage
    155
  • Lastpage
    166
  • Abstract
    The authors present a novel and heuristic approach for the detection of low radar cross-section targets in high-resolution sea clutter. The proposed technique is based on the application of the Radon transform to range-time matrices formed by column-wise storage of consecutive range profiles. The objective of this paper is 2-fold: to analyse the effect of the transform on real high-resolution sea clutter and to describe a detection scheme based on the insight obtained. The proposed technique emulates the behaviour of traditional motion target detection algorithms without the need for reliable Doppler information. It also constitutes a powerful non-coherent integration strategy of the target-s energy along its specific path on the range-time plot. The performance of the detection technique has been tested against real high-resolution sea clutter data, acquired at the south coast of Spain with an in-house developed continuous wave linear frequency modulated millimetre-wave radar system. Monte Carlo simulations show a significant improvement over the conventional cell averaging constant false alarm rate schemes.
  • Keywords
    CW radar; FM radar; Monte Carlo methods; Radon transforms; marine radar; millimetre wave devices; object detection; radar clutter; radar cross-sections; radar detection; radar resolution; radar theory; Monte Carlo simulation; Radon transform; Spain; continuous wave linear frequency modulated radar; high-resolution sea clutter; maritime radar; millimetre-wave radar system; motion target detection algorithm; radar cross-section; range-time matrix;
  • fLanguage
    English
  • Journal_Title
    Radar, Sonar & Navigation, IET
  • Publisher
    iet
  • ISSN
    1751-8784
  • Type

    jour

  • DOI
    10.1049/iet-rsn:20080123
  • Filename
    4782979