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Wave scattering from random sets of closely spaced objects through linear embedding via Green's operators

机译:通过格林算子通过线性嵌入从随机分布的近距离对象集中散射波

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In this paper we present the application of linear embedding via Green's operators (LEGO) to the solution of the electromagnetic scattering from clusters of arbitrary (both conducting and penetrable) bodies randomly placed in a homogeneous background medium. In the LEGO method the objects are enclosed within simple-shaped bricks described in turn via scattering operators of equivalent surface current densities. Such operators have to be computed only once for a given frequency, and hence they can be re-used to perform the study of many distributions comprising the same objects located in different positions. The surface integral equations of LEGO are solved via the Moments Method combined with Adaptive Cross Approximation (to save memory) and Arnoldi basis functions (to compress the system). By means of purposefully selected numerical experiments we discuss the time requirements with respect to the geometry of a given distribution. Besides, we derive an approximate relationship between the (near-field) accuracy of the computed solution and the number of Arnoldi basis functions used to obtain it. This result endows LEGO with a handy practical criterion for both estimating the error and keeping it in check.
机译:在本文中,我们介绍了通过格林算子(LEGO)进行线性嵌入的方法,该方法可用于解决随机分布在均质背景介质中的任意(导电和可穿透)物体簇的电磁散射问题。在乐高方法中,物体通过等效表面电流密度的散射算子被包围在简单形状的砖块中。对于给定的频率,此类算子只需计算一次,因此可以重新使用它们来研究包括位于不同位置的相同对象的许多分布。乐高的表面积分方程是通过矩量法与自适应交叉逼近(以节省内存)和Arnoldi基函数(以压缩系统)相结合求解的。通过有目的地选择数值实验,我们讨论了关于给定分布的几何形状的时间要求。此外,我们导出了计算解的(近场)精度与用于获得它的Arnoldi基函数的数量之间的近似关系。这一结果为乐高提供了一个方便的实用准则,可用于估计错误并控制错误。

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