DocumentCode :
781481
Title :
A Hybrid Analytic-Numerical Algorithm of Scattering From an Object Above a Rough Surface
Author :
Ye, Hongxia ; Jin, Ya-Qiu
Author_Institution :
Key Lab. of Wave Scattering & Remote Sensing, Fudan Univ., Shanghai
Volume :
45
Issue :
5
fYear :
2007
fDate :
5/1/2007 12:00:00 AM
Firstpage :
1174
Lastpage :
1180
Abstract :
A hybrid algorithm, combining analytic Kirchhoff approximation (KA) and numerical method of moments (MoMs), is developed to solve the coupling electric-field integral equations (EFIEs) of scattering from a perfect electric conducting (PEC) object above a randomly rough PEC surface under TE-polarized plane-wave incidence. The MoM with the conjugate gradient approach is used to first solve the EFIE of the object. The surface fields on the rough surface are analytically expressed using the KA method, and large memory and computations for those fields are greatly reduced. An iterative approach of the surface fields induced on both object and rough surface is then utilized to take into account interactions between the object and underlying rough surface. Convergence of this hybrid algorithm is numerically validated. Making use of Monte Carlo realization, bistatic scattering from a 2-D PEC cylindrical object above a PEC rough surface is well simulated by this hybrid KA-MoM algorithm
Keywords :
Monte Carlo methods; conducting bodies; electric field integral equations; electromagnetic wave scattering; hybrid simulation; method of moments; rough surfaces; 2D PEC; KA-MoM algorithm; Kirchhoff approximation; Monte Carlo methods; conjugate gradient approach; electric-field integral equations; method of moments; perfect electric conductor; rough surface; scattering; Algorithm design and analysis; Approximation algorithms; Couplings; Integral equations; Iterative methods; Kirchhoff´s Law; Moment methods; Rough surfaces; Scattering; Surface roughness; Hybrid algorithm; Kirchhoff approximation (KA); iteration; method of moments (MoMs); object and rough surface;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2007.892609
Filename :
4156349
Link To Document :
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