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3-D Vector Electromagnetic Scattering From Arbitrary Random Rough Surfaces Using Stabilized Extended Boundary Condition Method for Remote Sensing of Soil Moisture

机译:利用稳定扩展边界条件方法从任意随机粗糙表面进行3D矢量电磁散射以遥感土壤水分

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摘要

We develop the stabilized extended boundary condition method (SEBCM) based on the classical EBCM to solve the 3-D vector electromagnetic scattering problem from arbitrary random rough surfaces. Similar to the classical EBCM, we expand the fields in terms of Floquet modes and match the extended boundary conditions at test surfaces away from the actual rough surface to retrieve the surface currents and therefore the scattered fields. However, to solve long-standing stability problems of the classical EBCM, we introduce a z-coordinate transformation to restrict and control the test surface locations explicitly. We also introduce the concepts of moderated test surface locations and balanced k-charts for further stabilization and optimization of the solutions. The computational efficiency is optimized by judicious submatrix decomposition. The resulting bistatic scattering cross sections are validated by comparing with analytical and numerical solutions. Specifically, the solutions are compared with those from the small perturbation method and small-slope approximation within their validity region, and with those from the method of moments outside the validity domains of analytical solutions. It is shown that SEBCM gives accurate, numerically efficient, full-wave solutions over a large range of surface roughnesses and medium losses, which are far beyond the validity range of analytical methods. These properties are expected to make SEBCM a competitive forward solver for soil moisture retrieval from radar measurements.
机译:我们开发了基于经典EBCM的稳定扩展边界条件方法(SEBCM),以解决任意随机粗糙表面的3-D矢量电磁散射问题。与经典EBCM相似,我们以Floquet模式扩展场,并匹配远离实际粗糙表面的测试表面的扩展边界条件,以获取表面电流,从而获得散射场。但是,为解决经典EBCM长期存在的稳定性问题,我们引入了z坐标变换来明确限制和控制测试表面的位置。我们还介绍了缓和测试表面位置和平衡k图的概念,以进一步稳定和优化解决方案。通过明智的子矩阵分解可以优化计算效率。通过与解析解和数值解进行比较,可以验证得到的双基地散射截面。具体而言,将其解与有效范围内的小扰动方法和小斜率近似方法以及解析方法的有效域之外的矩量方法进行比较。结果表明,SEBCM可以在很大的表面粗糙度和介质损耗范围内提供准确的,数值有效的全波解决方案,而这远远超出了分析方法的有效性范围。这些特性有望使SEBCM成为从雷达测量中获取土壤水分的竞争性正求解器。

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