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
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;
Conference_Titel :
Antennas and Propagation Society International Symposium, 1994. AP-S. Digest
Conference_Location :
Seattle, WA, USA
Print_ISBN :
0-7803-2009-3
DOI :
10.1109/APS.1994.407716