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

Leung Tsang; Chi H. Chan; Kyung Pak; Haresh Sangani

doi:10.1109/8.402205

Author(s)

Leung Tsang
Chi H. Chan
Kyung Pak
Haresh Sangani

Detail(s)

Original language	English
Pages (from-to)	851-859
Journal / Publication	IEEE Transactions on Antennas and Propagation
Volume	43
Issue number	8
Publication status	Published - Aug 1995
Externally published	Yes

Link(s)

DOI	DOI https://doi.org/10.1109/8.402205 Final Published version
	Check@CityULib
Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-0029357186&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(d0ba1bae-adb7-4ffe-adc4-c1a7b56fcade).html

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)

[ RIS ] [ BibTeX ]

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 › peer-review

Tsang, L, Chan, CH, Pak, K & Sangani, H 1995, 'Monte-Carlo Simulations of Large-Scale Problems of Random Rough Surface Scattering and Applications to Grazing Incidence with the BMIA/Canonical Grid Method', IEEE Transactions on Antennas and Propagation, vol. 43, no. 8, pp. 851-859. https://doi.org/10.1109/8.402205

Tsang, L., Chan, C. H., Pak, K., & Sangani, H. (1995). Monte-Carlo Simulations of Large-Scale Problems of Random Rough Surface Scattering and Applications to Grazing Incidence with the BMIA/Canonical Grid Method. IEEE Transactions on Antennas and Propagation, 43(8), 851-859. https://doi.org/10.1109/8.402205

Tsang L, Chan CH, Pak K, Sangani H. Monte-Carlo Simulations of Large-Scale Problems of Random Rough Surface Scattering and Applications to Grazing Incidence with the BMIA/Canonical Grid Method. IEEE Transactions on Antennas and Propagation. 1995 Aug;43(8):851-859. https://doi.org/10.1109/8.402205

Tsang, Leung ; Chan, Chi H. ; Pak, Kyung ; Sangani, Haresh. / Monte-Carlo Simulations of Large-Scale Problems of Random Rough Surface Scattering and Applications to Grazing Incidence with the BMIA/Canonical Grid Method. In: IEEE Transactions on Antennas and Propagation. 1995 ; Vol. 43, No. 8. pp. 851-859.