Title :
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
fDate :
5/1/2007 12:00:00 AM
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;
Journal_Title :
Antennas and Propagation, IEEE Transactions on
DOI :
10.1109/TAP.2007.895629