Efficient Computation of RCS From Scatterers of Uncertain Shapes

Author

Chauviere, C. ; Hesthaven, Jan S. ; Wilcox, Lucas C.

Author_Institution

Lab. de Math., Univ. Blaise Pascal, Aubiere

Volume

55

Issue

5

fYear

2007

fDate

5/1/2007 12:00:00 AM

Firstpage

1437

Lastpage

1448

Abstract

We propose a way of accounting for the lack of detailed knowledge about material shapes in computational time-domain electromagnetics. We use Legendre-Gauss-Lobatto, Stroud-2 and Stroud-3 quadrature formulas to solve the resulting stochastic equation and we show the efficiency of the proposed method over statistical Monte Carlo simulations. We also show how the radar cross section (RCS) in scattering is affected by the uncertainty in shape of the objects and by the direction of the incident field

Keywords

Monte Carlo methods; electromagnetic wave scattering; radar cross-sections; time-domain analysis; Legendre-Gauss-Lobatto quadrature formula; RCS; Stroud-2 quadrature formula; Stroud-3 quadrature formula; computational time-domain electromagnetics; radar cross section; statistical Monte Carlo simulation; stochastic equation; uncertain shape scatterer; Electromagnetic scattering; Maxwell equations; Monte Carlo methods; Radar cross section; Radar scattering; Random variables; Shape; Stochastic processes; Time domain analysis; Uncertainty; Maxwell´s equations; spectral methods; uncertainty quantification;

fLanguage

English

Journal_Title

Antennas and Propagation, IEEE Transactions on

Publisher

ieee

ISSN

0018-926X

Type

jour

DOI

10.1109/TAP.2007.895629

Filename

4200894