Monte Carlo simulations of large-scale composite random rough-surface scattering based on the banded-matrix iterative approach

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

30 Scopus Citations
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Author(s)

  • Leung Tsang
  • Kyung Pak
  • Haresh Sangani
  • Akira Ishimaru
  • Phillip Phu

Detail(s)

Original languageEnglish
Pages (from-to)691-696
Journal / PublicationJournal of the Optical Society of America A: Optics and Image Science, and Vision
Volume11
Issue number2
Publication statusPublished - Feb 1994
Externally publishedYes

Abstract

A banded-matrix iterative method (BMIA) is used to study scattering of a TE incident wave from a perfectly conducting one dimensional random rough surface. Based on BMIA it is possible to study two-scale roughness with two correlation lengths that are many times different in size. Small-scale roughness, rather then large-scale roughness is found numerically to dominate bistatic scattering.

Citation Format(s)

Monte Carlo simulations of large-scale composite random rough-surface scattering based on the banded-matrix iterative approach. / Tsang, Leung; Chan, Chi H.; Pak, Kyung et al.
In: Journal of the Optical Society of America A: Optics and Image Science, and Vision, Vol. 11, No. 2, 02.1994, p. 691-696.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review