• DocumentCode
    2700759
  • Title

    Clutter simulation in maritime environments

  • Author

    Lawrence, Peter E. ; Szabo, Anthony P.

  • Author_Institution
    Weapons Syst. Div., Defence Sci. & Technol. Organ., Edinburgh, UK
  • fYear
    2003
  • fDate
    3-5 Sept. 2003
  • Firstpage
    619
  • Lastpage
    624
  • Abstract
    Knowledge of clutter characteristics are an important factor in determining radar system performance, especially for target detection. Clutter may be modelled as a random process, with the clutter characteristics embodied in the statistics of the process. Most modern pulsed-Doppler radars utilize range-Doppler maps in their detection schemes, and so it is crucial to understand the statistical properties of clutter in these maps in order to develop effective target detection algorithms. In this paper, we discuss the simulation of the sea clutter seen on the range-Doppler map or an X-band pulse-Doppler radar operating in a maritime environment. We shall implement the compound K-distribution model for maritime clutter returns and incorporate temporal and spatial correlations in clutter map realizations.
  • Keywords
    Doppler radar; airborne radar; marine radar; military radar; radar clutter; radar detection; radar theory; random processes; statistical distributions; K-distribution model; Rayleigh statistics; X-band radar; airborne radar; clutter simulation; clutter statistics; maritime environments; pulsed-Doppler radars; radar system performance; random process; random-walk models; range-Doppler maps; sea clutter; spatial correlations; target detection; temporal correlations; Doppler radar; Fluctuations; Object detection; Radar clutter; Radar detection; Sea measurements; Sea surface; Signal processing; Statistics; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2003. Proceedings of the International
  • Print_ISBN
    0-7803-7870-9
  • Type

    conf

  • DOI
    10.1109/RADAR.2003.1278813
  • Filename
    1278813