2008
DOI: 10.2528/pier07092005
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Monte Carlo Integration Technique for the Analysis of Electromagnetic Scattering From Conducting Surfaces

Abstract: Abstract-A new numerical method is proposed for the analysis of electromagnetic scattering from conducting surfaces. The method involves Monte Carlo integration technique in the Method of Moments solution of the Electric Field Integral Equation for determining the unknown induced current distribution on the surface of the scatterers. The unknown current distribution is represented in terms of a modified entire domain polynomial basis functions satisfying the appropriate edge conditions and symmetry conditions … Show more

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Cited by 21 publications
(14 citation statements)
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References 30 publications
(29 reference statements)
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“…In the traditional high-frequency method [9][10][11], we often overlook the shadow of the side effects. The impact on current of the shadow region is small; however, in some applications the scattering of their contributions can not be ignored.…”
Section: Bistatic Scattering In Shadow Regionmentioning
confidence: 99%
“…In the traditional high-frequency method [9][10][11], we often overlook the shadow of the side effects. The impact on current of the shadow region is small; however, in some applications the scattering of their contributions can not be ignored.…”
Section: Bistatic Scattering In Shadow Regionmentioning
confidence: 99%
“…Monte Carlo integration technique [16] is very powerful in these circumstances, mostly for the problem involving integration, which is too difficult to solve analytically and by other available numerical methods. Efficiency of Monte Carlo integration method increases relative to other method when the dimension of the integral increases.…”
Section: Monte Carlo Integration With General Division Approach (S-mc)mentioning
confidence: 99%
“…The conventional MCI takes care of the singularity aspect without employing any analytical techniques such as Singularity subtraction/removal, polar co-ordinate transformation, etc. and implements the idea just by restricting the random points to fall in the singular region by including a simple statement in the program code used for the simulation purpose [7,8]. However, the proposed Halton sequence in QMCI takes care of the singularity issue automatically without even modification or inclusion of any condition in the program code and provides solution to the problem more accurately and faster than the conventional MCI with randomly generated point sequences.…”
Section: Introductionmentioning
confidence: 99%