• DocumentCode
    3376132
  • Title

    The Semi-Analytic Mode Matching algorithm for GPR wave scattering from multiple complex objects buried in a dielectric half space

  • Author

    Morgenthaler, Ann W. ; Rappaport, Carey M.

  • Author_Institution
    Northeastern Univ., Boston, MA, USA
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    4713
  • Lastpage
    4716
  • Abstract
    The Semi-Analytic Mode Matching (SAMM) algorithm is a quick and efficient computational method that can model wave scattering from multiple objects in half spaces. This algorithm relies heavily on the appropriate choice of coordinate scattering centers (CSCs) for its modal expansions. Here, the radius of curvature method of finding CSCs is extended to “tune” the CSC loci. Because the CSC locations are essentially frequency independent and independent of the dielectric contrast between scatterer and background, it is worthwhile to analyze carefully particular scattering object shapes and store the optimal CSC locations for future use. Scattering from multiple targets buried within half spaces can be constructed from simpler simulations of the individual targets taken independently in uniform media - combining these initial simulations correctly can greatly reduce overall computational time and increase robustness in full simulations. Excellent results are found comparing SAMM and Finite Difference Frequency Domain (FDFD) for multiple 2D scattering objects 0.1 - 15 wavelengths in size located beneath half spaces.
  • Keywords
    ground penetrating radar; mode matching; 2D scattering objects; FDFD; GPR wave scattering; SAMM; computational method; coordinate scattering centers; dielectric contrast; finite difference frequency domain; semi-analytic mode matching algorithm; Algorithm design and analysis; Computational modeling; Dielectrics; Fitting; Geometry; Scattering; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5654107
  • Filename
    5654107