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首页> 外文期刊>Antennas and Propagation, IEEE Transactions on >Simulation of Complex Multiscale Objects in Half Space With Calderón Preconditioner and Adaptive Cross Approximation
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Simulation of Complex Multiscale Objects in Half Space With Calderón Preconditioner and Adaptive Cross Approximation

机译:用Calderón预处理和自适应交叉逼近对半空间中复杂多尺度对象的模拟。

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Simulation of electromagnetic scattering by complex multiscale objects in a half space is addressed in this communication. The objects under investigation can be situated above, embedded in, or even penetrating the interface of the half space. In this analysis, the electric field integral equation is formulated with the kernel of a half-space Green's function. The Calderón preconditioner is employed to improve the convergence of the Krylov-subspace iterative solvers. A new preconditioning operator is proposed to substantially reduce the construction cost, yet maintain the effectiveness. Moreover, a novel multilevel implementation of the adaptive cross approximation (ACA) algorithm is further adopted to make the method capable for problems with moderate size. The proposed scheme is examined by several multiscale problems, which constitute the most common scenarios in the near-surface applications.
机译:在此通讯中介绍了在半空间中复杂的多尺度对象进行电磁散射的模拟。被调查的对象可以位于半空间的上方,嵌入其中,甚至可以穿透半空间的界面。在此分析中,电场积分方程是用半空间格林函数的核表示的。使用Caldero的预处理器来改善Krylov子空间迭代求解器的收敛性。提出了一种新的预处理器,以显着降低建造成本,同时保持有效性。此外,还采用了一种新的自适应交叉逼近(ACA)算法的多级实现方法,使该方法能够解决中等大小的问题。所提出的方案通过几个多尺度问题进行了检验,这些问题构成了近地表应用中最常见的场景。

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