半空间目标散射分析的多级压缩块分解算法

2012 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition Pub Date : 2012-10-04 DOI:10.1109/IWEM.2012.6320326

D. Ding, R. Chen, Z. Fan, S. Shen, Z. Jiang

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引用次数: 0

摘要

迭代方法的收敛速度可能以不可预测的方式变化。它与矩阵条件数有关，而矩阵条件数对于大规模电磁问题中的电场积分方程(EFIE)是非常不利的。因此，采用一种有效的直接解-基于自适应交叉逼近(ACA)算法的多级压缩块分解(MLCBD)算法来克服这一问题，它对单稳态问题非常有效。对半空间地面和地下目标的仿真结果表明，MLCBD方法是一种有效的电磁问题分析方法。

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The multilevel compressed block decomposition algorithms for analyzing the scattering of objects in half space

The convergence rate of iterative methods can vary in an unpredictable way. It is related to the matrix condition number, which is notoriously bad for the electric field integral equation (EFIE) in the large-scale electromagnetic problems. Therefore, an efficient direct solution-multilevel compressed block decomposition (MLCBD) algorithm based on the adaptive cross approximation (ACA) algorithm is applied to overcome this problem, it is very efficient for the Monostatic problems. Simulation results of the objects up and below ground in half space demonstrate that the MLCBD method is efficient for analyzing electromagnetic problems.

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2012 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition

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