Open AccessA hybrid analytical-numerical algorithm for scattering from a 3-D target above a randomly rough surface
Author(s) -
Hongxia Ye,
Yue Jin
Publication year - 2008
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.57.839
Subject(s) - scattering , conjugate gradient method , computation , surface (topology) , method of moments (probability theory) , integral equation , gaussian , moment (physics) , convergence (economics) , algorithm , physics , mathematical analysis , mathematics , optics , geometry , classical mechanics , quantum mechanics , statistics , estimator , economics , economic growth
This paper presents a hybrid iterative algorithm of analytic KA-numerical MOM for scattering computation from a 3-dimensional (3-D) perfect conducting target above a randomly rough surface. The coupled integral equations (IEs) are derived for difference scattering computation. The method of moment (MoM) with the conjugate gradient (CG) approach is used to solve the target's IEand the Kirchhoff approximation (KA) is applied to scattering from the rough surface. The coupling iteration takes account of the interactions between the target and the underlying rough surface. The convergence of this hybrid algorithm of KA-MoM is numerically validated. Since there is only one numerical integral along the rough surface performed for KA computationmemory and CPU time are significantly reduced. Numerical results of bistatic scattering from a PEC ellipsoid or cubic target above a Gaussian rough surface produced by Monte Carlo method are obtained.