The Hybrid EPILE + PO Combined with the Adaptive Cross Approximation to Study the Electromagnetic Scattering from two 3D Scatterers

M. Kouali, Noor Obead
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Abstract

Calculating the RCS (Radar Cross Section) of two 3D scatterers (target above a rough surface) needs to numerically solve a set of integral equations involving a large number of unknowns. Such large applications in remote sensing cannot be solved easily with a conventional Method of Moments (MoM) by using a direct LU inversion. Thus, hybridization between the E-PILE (Extended Propagation-Inside-Layer Expansion) and the Physical Optics approximation (PO) reduces significantly the memory requirements and CPU time. The resulting method called E-PILE + PO. In this work, we take advantage of the rank-deficient nature of the coupling matrices, corresponding to scatterer 1 and scatterer 2 interactions, to further reduce the complexity of the method by using the ACA (Adaptive Cross Approximation). The ACA algorithm permits to strongly compress the coupling matrices without a loss of accuracy and the memory requirement is then strongly reduced. The proposed method is then applied for a scenario of a square plate located above sea-like two-dimensional rough surface.
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混合EPILE + PO结合自适应交叉逼近研究两个三维散射体的电磁散射
计算两个三维散射体(粗糙表面上的目标)的RCS (Radar Cross Section)需要对一组包含大量未知数的积分方程进行数值求解。传统的矩量法(MoM)无法通过直接LU反演轻松解决如此大规模的遥感应用问题。因此,E-PILE(扩展传播-层内扩展)和物理光学近似(PO)之间的杂交显著降低了内存需求和CPU时间。由此产生的方法称为E-PILE + PO。在这项工作中,我们利用耦合矩阵的秩缺陷性质,对应于散射体1和散射体2的相互作用,通过使用ACA(自适应交叉逼近)进一步降低了方法的复杂性。ACA算法允许在不损失精度的情况下对耦合矩阵进行强压缩,从而大大降低了内存需求。然后将该方法应用于海状二维粗糙表面上的方形板场景。
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