DocumentCode
2947729
Title
Numerical scattering from 3D randomly rough surfaces using FVTD
Author
Isleifson, Dustin ; Shafai, Lot ; Barber, David G.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Manitoba, Winnipeg, MB, Canada
fYear
2011
fDate
3-8 July 2011
Firstpage
3225
Lastpage
3228
Abstract
A numerical technique for calculating the scattering from 3D randomly rough surfaces has been developed. A formulation for a total-field/scattered-field source for planar multi-layered media was implemented in a parallelized finite-volume time-domain (FVTD) computational engine. Methods for generating rough surfaces with Gaussian statistics were used to create computational geometries. Monte Carlo simulations for the scattering from the rough surfaces were performed using a scattered-field formulation of the FVTD method, which represents the rough surface as contrast sources. These contrast sources generate the scattered fields and are more easily absorbed by the absorbing boundary conditions (ABCs), improving efficiency and accuracy. The scattered near-fields were then transformed to the far-field, coherently averaged, and subsequently normalized to obtain a normalized radar cross-section. The validity of the technique is demonstrated by showing favorable comparisons with the small perturbation model (SPM).
Keywords
Gaussian distribution; Monte Carlo methods; electromagnetic wave scattering; finite volume methods; radar cross-sections; time-domain analysis; 3D random rough surfaces; ABC; FVTD method; Gaussian statistics; Monte Carlo simulations; SPM; absorbing boundary conditions; normalized radar cross-section; numerical scattering; parallelized finite-volume time-domain computational engine; planar multilayered media; small perturbation model; Computational modeling; Geometry; Numerical models; Rough surfaces; Scattering; Surface roughness; Surface waves;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation (APSURSI), 2011 IEEE International Symposium on
Conference_Location
Spokane, WA
ISSN
1522-3965
Print_ISBN
978-1-4244-9562-7
Type
conf
DOI
10.1109/APS.2011.5997221
Filename
5997221
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