DocumentCode
3377247
Title
Efficient analysis of large dense method of moments matrices
Author
Zunoubi, Mohammad R. ; Kishk, Ahmed A.
Author_Institution
Dept. of Electr. & Comput. Eng., State Univ. of New York, New Paltz, NY, USA
Volume
1
fYear
2004
fDate
20-25 June 2004
Firstpage
639
Abstract
An efficient technique for the solution of large-scale electromagnetic radiation and scattering problems arising from the surface integral equations and the method of moments is developed. The conventional MoM basis and testing functions are used to discretize the integral equations resulting in a dense impedance matrix. A wavelet transform is employed in a new block partitioning strategy to sparsify the matrix. Full advantage is then taken of the sparse nature of the mathematical model to solve the system of equations by the means of the recently introduced stabilized biconjugate gradient method, Bi-CGSTAB(l). Numerical results of scattering problems are presented while a comparison is made with the results obtained from direct solution (LU decomposition) of the original MoM matrix. Excellent results are obtained, illustrating the effectiveness and efficiency of the proposed technique.
Keywords
computational electromagnetics; conjugate gradient methods; electromagnetic wave scattering; impedance matrix; integral equations; matrix decomposition; method of moments; sparse matrices; wavelet transforms; LU decomposition; MoM basis functions; MoM matrix; MoM testing functions; dense impedance matrix; dense matrix; dense method of moments matrices; electromagnetic radiation problems; electromagnetic scattering problems; sparse matrix; stabilized biconjugate gradient method; surface integral equations; wavelet transform; Electromagnetic radiation; Electromagnetic scattering; Integral equations; Large-scale systems; Mathematical model; Moment methods; Sparse matrices; Surface impedance; Testing; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium, 2004. IEEE
Print_ISBN
0-7803-8302-8
Type
conf
DOI
10.1109/APS.2004.1329751
Filename
1329751
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