• DocumentCode
    3071446
  • Title

    The Pareto distribution for high grazing angle sea-clutter

  • Author

    Rosenberg, Luke ; Bocquet, Stephen

  • Author_Institution
    Defence Sci. & Technol. Organ., Edinburgh, SA, Australia
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    4209
  • Lastpage
    4212
  • Abstract
    Robust maritime surveillance with radar requires an accurate description of the backscatter from the sea. The probability distribution of the backscatter is commonly used to determine the threshold for separating targets from clutter. Analysis of data collected at high grazing angles, 15° and 45° by the Defence Science Technology Organisation (DSTO) Ingara fully polarimetric X-band radar has shown that the exponential power model is not sufficient to model the probability distribution of the radar backscatter. Recent studies have shown that the Pareto distribution is extremely useful as it both captures the high magnitude components of the sea-clutter and allows significantly simpler optimal and sub-optimal detectors. To further enhance the usefulness of this distribution, this paper presents a multi-look formulation which accounts for the thermal noise in the radar. The underlying shape is derived using both numerical integration and an approximation using an `effective´ shape parameter.
  • Keywords
    Pareto distribution; oceanographic techniques; remote sensing by radar; DSTO Ingara fully polarimetric X-band radar; Defence Science Technology Organisation; Pareto distribution; angle sea-clutter; backscatter probability distribution; effective shape parameter; multilook formulation; robust maritime surveillance; thermal noise; Approximation methods; Backscatter; Clutter; Noise; Radar; Shape; Thermal noise; Pareto; Radar; probability distribution; seaclutter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723762
  • Filename
    6723762