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An Accurate Model for the Efficient Simulation of Electromagnetic Scattering From an Object Above a Rough Surface With Infinite Extent
Journal article   Peer reviewed

An Accurate Model for the Efficient Simulation of Electromagnetic Scattering From an Object Above a Rough Surface With Infinite Extent

Yi-Wen Wei, Chao-Fu Wang, Chun Yun Kee and Tse-Tong Chia
IEEE transactions on antennas and propagation, Vol.69(2), pp.1040-1051
01/02/2021

Abstract

Computational modeling Electrically large and complex object electromagnetic (EM) scattering by rough surfaces Green products half-space dyadic Green’s functions infinite environment Numerical models Rough surfaces Scattering shooting and bouncing rays-physical optics (SBR-PO) method Surface roughness Surface waves
To accurately simulate the electromagnetic (EM) scattering from an electrically large and complex object above a rough surface, we propose a new scattering model that can effectively capture the EM scattering phenomenon including the coupling between the object, the rough surface, and the infinite environment. Specifically, the proposed scattering model consists of the object and a representative of the underlying rough surface residing in a half-space environment. To make the model consistent with the real scenario and the simulation fast yet with reasonable accuracy, we apply the hybrid shooting and bouncing rays-physical optics (SBR-PO) method to model the interaction between the object and its representative underlying rough surface, and the far-field half-space dyadic Green's functions to account for the effect of an infinite half-space environment. Compared with existing scattering models, this new scattering model can emulate the interaction between the object and the infinite half-space environment more accurately. In addition, graphics processing units (GPUs) are used to accelerate the intensive computations of the prediction process. The numerical results obtained validate the proposed method and its implementation in terms of accuracy, truncation stability, and runtime performance.

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