• DocumentCode
    1221979
  • Title

    Fast and accurate algorithm for the short-pulse electromagnetic scattering from conducting circular plates buried inside a lossy dispersive half-space

  • Author

    Losada, Vicente ; Boix, Rafael R. ; Medina, Francisco

  • Author_Institution
    Dept. of Appl. Phys., Univ. of Seville, Spain
  • Volume
    41
  • Issue
    5
  • fYear
    2003
  • fDate
    5/1/2003 12:00:00 AM
  • Firstpage
    988
  • Lastpage
    997
  • Abstract
    The method of moments in the Hankel transform domain is applied to the determination of the fields scattered by a conducting circular plate buried in a lossy dispersive half-space when the plate is illuminated by a plane wave. The scattered fields obtained in the frequency domain are used to model the time-domain short-pulse scattering via the inverse fast Fourier transform. The authors show that the choice of adequate basis functions in the approximation of the current density induced on the plate makes it possible to obtain very accurate results for the scattered fields while using low computer memory requirements and short CPU times. This implies that the algorithm developed for the particular problem treated in this paper provides a good benchmark for the validation of any other numerical algorithms dealing with the analysis of the scattering from buried conducting objects with more complex geometry.
  • Keywords
    Hankel transforms; buried object detection; conducting bodies; dispersive media; electromagnetic wave scattering; fast Fourier transforms; frequency-domain analysis; method of moments; time-domain analysis; EM scattering; Hankel transform; basis functions; buried conducting objects; conducting circular plates; current density; frequency domain; inverse fast Fourier transform; lossy dispersive half-space; method of moments; scattered fields; short-pulse electromagnetic scattering; time-domain short-pulse scattering; Algorithm design and analysis; Buried object detection; Dispersion; Electromagnetic scattering; Fast Fourier transforms; Frequency domain analysis; Moment methods; Radar detection; Radar scattering; Time domain analysis;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2003.810678
  • Filename
    1206722