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A quantitative approach for the convergence analysis of fast iterative physical optics (IPO) algorithms is presented. It relies on the spectral study of the iteration operator used in various iterative methods based on operator splitting. A ray-based approximation enables the analytical computation of the operator and its spectral radius for a phenomenologically representative test case of geometries...
Simulation of high frequency fields using Iterative Physical Optics and Gaussian Beam Shooting algorithms is studied. Particular attention is payed to the field evaluation accuracy in shadow regions. The accuracy is evaluated by comparing the results to those of numerically rigorous numerical methods.
A fast iterative physical optics (IPO) algorithm for the analysis of scattering from large complex geometries involving multiple scattering and self-shadowing effects is presented. The algorithm comprises two types of nested iterations: reflection ("bounce") iterations and self-shadowing iterations. Both types of iterations involve time consuming surface integrations carrying an O (N2) computational...
A novel iterative physical optics (IPO) algorithm is proposed, for the analysis of scattering from large complex geometries involving multiple reflections and complex self-shadowing effects. The algorithm involves two types of nested iterations: reflection (“bounce”) iterations and self-shadowing iterations. At each bounce iteration, the physical optics sources induced on the surface of the scatterer...
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