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首页> 外文期刊>International journal of antennas and propagation >A Fast Algorithm for Electromagnetic Scattering from One-Dimensional Rough Surface
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A Fast Algorithm for Electromagnetic Scattering from One-Dimensional Rough Surface

机译:一维粗糙表面电磁散射的快速算法

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摘要

In this paper, the Adaptive Modified Characteristic Basis Function Method (AMCBFM) is proposed for quickly simulating electromagnetic scattering from a one-dimensional perfectly electric conductor (PEC) rough surface. Similar to the traditional characteristic basis function method (CBFM), Foldy-Lax multiple scattering equations are applied in order to construct the characteristic basis functions (CBFs). However, the CBFs of the AMCBFM are different from those of the CBFM. In the AMCBFM, the coefficients of the CBFs are first defined. Then, the coefficients and the CBFs are used to structure the total current, which is used to represent the induced current along the rough surface. Moreover, a current criterion is defined to adaptively halt the order of the CBFs. The validity and efficiency of the AMCBFM are assessed by comparing the numerical results of the AMCBFM with the method of moments (MoM). The AMCBFM can effectively reduce the size of the matrix, and it costs less than half the CPU time used by the MoM. Moreover, by comparing it with the traditional CBFM, the AMCBFM can guarantee the accuracy, reduce the number of iterations, and achieve better convergence performance than the CBFM does. The second order of the CBFs is set in the CBFM. Additionally, the first order of the CBFs of the AMCBFM alone is sufficient for this result.
机译:本文提出了自适应改性特性基函数方法(AMCBFM),用于快速模拟一维完美电导体(PEC)粗糙表面的电磁散射。类似于传统的特征基函数方法(CBFM),施加折叠宽型散射方程以构建特征基功能(CBF)。然而,AMCBFM的CBF与CBFM的CBF不同。在AMCBFM中,首先定义CBF的系数。然后,系数和CBF用于结构的总电流,用于表示沿粗糙表面的感应电流。此外,定义了当前标准以自适应地停止CBF的顺序。通过将AMCBFM的数值结果与时刻(MOM)的方法进行比较来评估AMCBFM的有效性和效率。 AMCBFM可以有效地降低矩阵的大小,并且成本不到MOM所使用的CPU时间的一半。此外,通过将其与传统CBFM进行比较,AMCBFM可以保证准确性,减少迭代的数量,并实现比CBFM更好的收敛性能。 CBFS的二阶位于CBFM中。另外,单独的AMCBFM的CBFS的第一阶足以实现这一结果。

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