MONTE CARLO INTEGRATION TECHNIQUE FOR THE ANALYSIS OF ELECTROMAGNETIC SCATTERING FROM CONDUCTING SURFACES

Monte Carlo simulations for scattering of electromagnetic waves from perfectly conductive random rough surfaces.

Numerical calculations of mean scattered intensities by simulation of one-dimensional perfectly conductive random rough surfaces are presented. Results relative to backscattering enhancement and more accurate criteria for the validity of the Kirchhoff approximation are obtained. This method can also be used for assessing perturbative theories and for further experiments.

An Efficient Monte Carlo-Transformed Field Expansion Method for Electromagnetic Wave Scattering by Random Rough Surfaces

This paper develops an efficient and accurate numerical method for the computation of electromagnetic waves scattered by random rough surfaces. The method is based upon a combination of the Transformed Field Expansion method, which represents the solution as a provably convergent power series, and the Monte Carlo technique for sampling the probability space. The compelling aspect of the propose...

Sea Surfaces Scattering by Multi-Order Small-Slope Approximation: a Monte-Carlo and Analytical Comparison

L-band electromagnetic scattering from two-dimensional random rough sea surfaces are calculated by first- and second-order Small-Slope Approximation (SSA1, 2) methods. Both analytical and numerical computations are utilized to calculate incoherent normalized radar cross-section (NRCS) in mono- and bi-static cases. For evaluating inverse Fourier transform, inverse fast Fourier transform (IFFT) i...

An analysis of electromagnetic scattering from finite-width strips

Monte-Carlo and Quasi-Monte-Carlo Methods for Numerical Integration

We consider the problem of numerical integration in dimension s, with eventually large s; the usual rules need a very huge number of nodes with increasing dimension to obtain some accuracy, say an error bound less than 10−2; this phenomenon is called ”the curse of dimensionality”; to overcome it, two kind of methods have been developped: the so-called Monte-Carlo and Quasi-Monte-Carlo methods. ...