Monte-Carlo Simulations of Large-Scale Problems of Random Rough Surface Scattering and Applications to Grazing Incidence with the BMIA/Canonical Grid Method

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)851-859
Journal / PublicationIEEE Transactions on Antennas and Propagation
Volume43
Issue number8
Publication statusPublished - Aug 1995
Externally publishedYes

Abstract

Scattering of a TE incident wave from a perfectly conducting one-dimensional random rough surface is studied with the banded matrix iterative approach/canonical grid (BMIA/CAG) method. The BMIA/CAG is an improvement over the previous BM1A. The key idea of BMIA/CAG is that outside the near-field interaction, the rest of the interactions can be translated to a canonical grid by Taylor series expansion. The use of a flat surface as a canonical grid for a rough surface facilitates the use of the fast Fourier transform for nonnear field interaction. The method can be used for Monte-Carlo simulations of random rough surface problems with a large surface length including all the coherent wave interactions within the entire surface. We illustrate results up to a surface length of 2500 wavelengths with 25000 surface unknowns. The method is also applied to study scattering from random rough surfaces at near-grazing incidence. The numerical examples illustrate the importance of using a large surface length for some backscattering problems. © 1995 IEEE

Citation Format(s)

Monte-Carlo Simulations of Large-Scale Problems of Random Rough Surface Scattering and Applications to Grazing Incidence with the BMIA/Canonical Grid Method. / Tsang, Leung; Chan, Chi H.; Pak, Kyung; Sangani, Haresh.

In: IEEE Transactions on Antennas and Propagation, Vol. 43, No. 8, 08.1995, p. 851-859.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal