• DocumentCode
    292521
  • Title

    A SMFSIA method for the electromagnetic scattering from a two-dimensional (3-D scattering problem) perfectly conducting random rough surface

  • Author

    Kyung Pak ; Chan, C.H. ; Leung Tsang

  • Author_Institution
    Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
  • Volume
    1
  • fYear
    1994
  • fDate
    20-24 June 1994
  • Firstpage
    451
  • Abstract
    With the development of the sparse-matrix flat-surface iterative approach (SMFSIA), the Monte Carlo simulations of scattering from two-dimensional (3-D scattering problem) random rough surface problems have become much more efficient. In SMFSIA, the iterative procedure involves multiplication of a very large square matrix with a column vector. The present authors show that this CPU time-consuming procedure can be replaced by the fast Fourier transform (FFT). A numerical example is given by investigating electromagnetic wave scattering using SMFSIA with the fast Fourier transform. This new method provides a faster solution time without sacrificing numerical accuracy.<>
  • Keywords
    Monte Carlo methods; electromagnetic wave scattering; fast Fourier transforms; iterative methods; matrix multiplication; sparse matrices; 3-D scattering problem; CPU time-consuming procedure; Monte Carlo simulations; SMFSIA method; column vector; electromagnetic scattering; fast Fourier transform; solution time; sparse-matrix flat-surface iterative approach; two-dimensional perfectly conducting random rough surface; very large square matrix; Electromagnetic scattering; Integral equations; Iterative methods; Laboratories; Matrix decomposition; Remote sensing; Rough surfaces; Sparse matrices; Surface roughness; Surface waves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium, 1994. AP-S. Digest
  • Conference_Location
    Seattle, WA, USA
  • Print_ISBN
    0-7803-2009-3
  • Type

    conf

  • DOI
    10.1109/APS.1994.407716
  • Filename
    407716