Fast simulations of electromagnetic scattering from 1-D rough surface through adaptively modified characteristic basis function method

J. Wang, An-qi Wang, Zhixiang Huang
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Abstract

In this paper, the Adaptively Modified Characteristic Basis Function Method (AMCBFM) is proposed to fast simulate the electromagnetic scattering from one-dimensional rough surface. Firstly, the Primary Characteristic Basis Functions (PCBFs) arising from the self-interaction within the self-block are generated, and the coefficients of the basis function and the first current of each block are obtained. Secondly, the Secondary Characteristic Basis Functions (SCBFs) which account for the mutual coupling effects from the other distinct domains are obtained by using the inter-impedances. The higher SCBFs can be also derived through the same way. Finally, a new precision method is applied to control the current error, which is used to determine the order of the higher order SCBFs. By Comparing numerical simulations through the AMCBFM and the traditional Characteristic Basis Function Method (CBFM), the AMCBFM can guarantee the accuracy and void higher iteration, and the convergence performance is better than the CBFM in the lower order SCBFs. Moreover, by comparing numerical results of the AMCBFM and the method of moments (MoM), the AMCBFM can effectively reduce the size of the impedance matrix, and significantly reduce computing time.
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基于自适应修正特征基函数法的一维粗糙表面电磁散射快速模拟
为了快速模拟一维粗糙表面的电磁散射,提出了自适应修正特征基函数法(AMCBFM)。首先,生成自块内部自相互作用产生的初级特征基函数(pcbf),得到基函数系数和各块的第一电流;其次,利用内部阻抗得到了考虑其他不同域相互耦合效应的二次特征基函数(SCBFs);通过同样的方法也可以推导出更高的scbf。最后,采用一种新的精度方法来控制电流误差,并利用电流误差来确定高阶单导阵的阶数。通过与传统的特征基函数法(CBFM)的数值仿真比较,AMCBFM可以保证精度,不需要进行更高的迭代,并且在低阶scbf中收敛性能优于CBFM。此外,将AMCBFM与矩量法(MoM)的数值结果进行比较,发现AMCBFM可以有效地减小阻抗矩阵的大小,并显著缩短计算时间。
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