Combined wavelet transform and banded-matrix iterative approach/canonical grid methods for solving large-scale electromagnetic problems

Author

Lin, C.-M. ; Chi Hou Chan

Author_Institution

Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA

Volume

1

fYear

1998

fDate

21-26 June 1998

Firstpage

96

Abstract

Combining the Daubechies wavelet transform and banded-matrix iterative approach/canonical grid method, an efficient algorithm for solving large-scale electromagnetic problems is proposed. Based on the concept of the multiresolution analysis, a banded-matrix is compressed so as to reduce the required storage and speed up the computational time using the sifting window scheme. Using Monte Carlo simulations, the scattering of near-grazing incident waves by the one-dimensional lossy dielectric rough surfaces up to several hundred wavelengths is then investigated.

Keywords

Monte Carlo methods; absorbing media; electromagnetic wave scattering; iterative methods; matrix algebra; rough surfaces; signal resolution; wavelet transforms; 1D lossy dielectric rough surfaces; Daubechies wavelet transform; EM wave scattering; Monte Carlo simulations; banded-matrix iterative approach; canonical grid methods; computational time speed up; efficient algorithm; large-scale electromagnetic problems solution; multiresolution analysis; near-grazing incident waves; sifting window; storage reduction; wavelengths; wavelet transform; Dielectric losses; Electromagnetic scattering; Iterative algorithms; Iterative methods; Large-scale systems; Multiresolution analysis; Rough surfaces; Surface roughness; Surface waves; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium, 1998. IEEE

Conference_Location

Atlanta, GA, USA

Print_ISBN

0-7803-4478-2

Type

conf

DOI

10.1109/APS.1998.699083

Filename

699083