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A hybrid KA‐MoM algorithm for computation of scattering from a 3‐D PEC target above a dielectric rough surface
Author(s) -
Ye Hongxia,
Jin YaQiu
Publication year - 2008
Publication title -
radio science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 84
eISSN - 1944-799X
pISSN - 0048-6604
DOI - 10.1029/2007rs003702
Subject(s) - scattering , mathematics , mathematical analysis , surface (topology) , conjugate gradient method , discretization , computation , gaussian quadrature , integral equation , moment (physics) , algorithm , physics , nyström method , geometry , optics , classical mechanics
A new hybrid analytical‐numerical iterative algorithm, which combines the Kirchhoff approximation (KA) and the Method of Moment (MoM), is developed for computing the electromagnetic scattering from a three‐dimensional (3‐D) perfect electric conducting (PEC) target above a 2‐D infinite randomly rough dielectric surface. The equations of difference scattering due to the target presence above the rough surface are derived. The induced difference fields on the rough surface due to the interactions between the target and the rough surface are calculated by using the KA method. The excitation term on the right‐hand‐side (RHS) of target's surface integral equation (SIE), which contains the difference scattering of the rough surface, is then updated for calculating new target currents with the Conjugate Gradient (CG) procedure. Then the target currents are used to compute the difference field induced on the rough surface with the KA method. Multiple iterations take account of the multiorder interactions between the target and the underlying rough surface. Numerical quadrature upon the rough surface is performed only once to compute the coupling scattering field from the rough surface to the target, and it takes N steps ( N is the discretized mesh number of rough surface). By using this hybrid KA‐MoM algorithm, the requirements of memory and CPU time can be reduced significantly. Moreover, the validity conditions and the convergence performance of this hybrid algorithm are also discussed. With Monte‐Carlo generations of randomly rough surfaces, bistatic scattering from different‐shaped targets above a Gaussian rough surface is numerically simulated. Finally, dependence of bistatic scattering pattern on the surface dielectric property and the target geometry is discussed.