• DocumentCode
    885086
  • Title

    The phase perturbation approximation for rough surface scattering from a Pierson-Moskowitz sea surface

  • Author

    Broschat, Shira Lynn

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
  • Volume
    31
  • Issue
    1
  • fYear
    1993
  • fDate
    1/1/1993 12:00:00 AM
  • Firstpage
    278
  • Lastpage
    283
  • Abstract
    The accuracy of the phase perturbation approximation for scattering from a multiscale Pierson-Moskowitz sea surface is examined for large angles of incidence and wind speeds of 10 and 20 m/s. Numerical results for the incoherent bistatic radar cross section and the coherent reflection loss are compared with exact integral equation results. The study is limited to scalar-wave scattering from one-dimensional surfaces with Gaussian surface statistics for the Dirichlet problem. It is found that, for the examples studied, the phase perturbation bistatic radar cross section is accurate away from low scattered grazing angles. In addition, it contains approximations to higher-order classical perturbation cross section terms that partially account for the incoherent intensity structure in the specular region. It is shown that the phase perturbation approximation accurately predicts the coherent reflection loss
  • Keywords
    ocean waves; oceanographic techniques; radar cross-sections; remote sensing by radar; Dirichlet problem; Gaussian surface statistics; Pierson-Moskowitz sea surface; coherent reflection loss; incoherent bistatic radar cross section; large incidence angle; measurement; multiscale; ocean wave; one-dimensional surfaces; phase perturbation approximation; radar remote sensing; rough surface scattering; scalar-wave scattering; technique; Acoustic scattering; Bistatic radar; Integral equations; Optical scattering; Optical surface waves; Radar scattering; Rough surfaces; Sea surface; Statistics; Surface roughness;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.210467
  • Filename
    210467