• DocumentCode
    1940657
  • Title

    Sparse-matrix canonical grid (SMCG) method for dense medium scattering

  • Author

    Huang, B.-K. ; Chan, C.H. ; Tsang, L.

  • Author_Institution
    Wireless Commun. Res. Center, City Univ. of Hong Kong, China
  • Volume
    4
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    256
  • Abstract
    In this paper, the sparse matrix canonical grid (SMCG) method is applied to study electromagnetic scattering from a dense medium. This dense medium may either be randomly distributed two-dimensional infinite dielectric cylinders or three-dimensional dielectric particles. For arbitrarily shaped 2D or 3D dielectric scatterers, it is more convenient to adopt a volumetric integral equation formulation with the scatterers divided into squares or cubes of a uniform size so that free-space Green´s functions can be used. Instead of using the addition theorem for the indirect far-interaction calculations, we employ the Taylor series expansion, the same procedure as adopted in the SMCG method applied to rough surface scattering.
  • Keywords
    Green´s function methods; electromagnetic wave scattering; integral equations; iterative methods; matrix multiplication; series (mathematics); sparse matrices; vectors; 2D dielectric scatterers; 3D dielectric scatterers; SMCG method; Taylor series expansion; arbitrarily shaped scatterers; dense medium scattering; electromagnetic scattering; free-space Green functions; randomly distributed dielectric cylinders; sparse-matrix canonical grid method; three-dimensional dielectric particles; two-dimensional infinite dielectric cylinders; volumetric integral equation; Dielectrics; Electromagnetic scattering; Fast Fourier transforms; Grid computing; Integral equations; Particle scattering; Rough surfaces; Sparse matrices; Taylor series; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium, 2002. IEEE
  • Print_ISBN
    0-7803-7330-8
  • Type

    conf

  • DOI
    10.1109/APS.2002.1016972
  • Filename
    1016972