• DocumentCode
    781202
  • Title

    Angular Dependence of {cal K} -Distributed Sonar Data

  • Author

    Chenadec, Gilles Le ; Boucher, Jean-Marc ; Lurton, Xavier

  • Author_Institution
    Ecole Nat. Superieure des Telecommun. de Bretagne, Brest
  • Volume
    45
  • Issue
    5
  • fYear
    2007
  • fDate
    5/1/2007 12:00:00 AM
  • Firstpage
    1224
  • Lastpage
    1235
  • Abstract
    Backscattered signal statistics are widely used for target detection and seafloor characterization. The K-distribution shows interesting properties for describing experimental backscattered intensity statistics. In addition to the fact that its probability distribution function accurately fits actual sonar data, it advantageously provides a physical interpretation linked to the backscattering phenomenon. Sonar systems usually record backscattered signals from a wide angular range across the ship´s track. In this context, previous studies have shown that backscatter statistics strongly depend on the incidence angle. In this paper, we propose an extension of previous works to model the angular evolution of the K-distribution shape parameter. This evolution is made clear and analyzed from experimental data recorded with two sonar systems: a 95-kHz multibeam echosounder and a 110-kHz sidescan sonar. Model fitting with data backscattered from six seafloor configurations shows the improvement provided by our extension as compared to two previous models
  • Keywords
    backscatter; bathymetry; oceanographic techniques; sonar; 110 kHz; 95 kHz; K-distribution; multibeam echosounder; probability distribution function; seafloor characterization; signal backscattering; sonar data; target detection; Geometry; Radar scattering; Random variables; Scattering parameters; Sea floor; Sediments; Shape; Solid modeling; Sonar measurements; Statistical analysis; ${cal K}$-distribution; Seafloor classification; sonar statistical analysis;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2006.888454
  • Filename
    4156323