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首页> 外文期刊>Journal of Computational Methods in Sciences and Engineering >Direct solution of electromagnetic scattering from perfect electric conducting targets by combing characteristic basis function method and hybrid ACA-FDM method
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Direct solution of electromagnetic scattering from perfect electric conducting targets by combing characteristic basis function method and hybrid ACA-FDM method

机译:结合特征基函数方法和混合ACA-FDM方法直接求解完美导电目标的电磁散射

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摘要

The hybrid adaptive cross approximation (ACA) algorithm with fast dipole method (FDM) (ACA-FDM) combines characteristic basis function method (CBFM) to solve the electromagnetic scattering from perfect electric conducting targets is presented in this paper. In the conventional FDM-CBFM, the FDM is employed to reduce the complexity of matrix-vector products (MVPs) and vector-matrix-vector products (VMVPs) between the far-group pairs, but the calculation of submatrices related to the interactions of the near-group pairs is increased when the criterion for the far-group pairs becomes stricter in order to obtain relatively high accurate solutions. To mitigate this problem, the ACA algorithm is employed to deal with the near-group pairs. Compared with the conventional FDM-CBFM, the submatrices related to the interactions of the near-group pairs are efficiently compressed by the ACA, so it can efficiently calculate the MVPs and VMVPs between the near-group pairs. Numerical results are given to demonstrate the efficiency and accuracy of the ACA-FDM-CBFM.
机译:本文提出了一种结合快速偶极子方法(FDM)(ACA-FDM)的混合自适应交叉逼近(ACA)算法,结合特征基函数方法(CBFM)来解决来自理想导电目标的电磁散射。在传统的FDM-CBFM中,FDM用于降低远组对之间的矩阵向量乘积(MVP)和向量矩阵向量乘积(VMVP)的复杂性,但是子矩阵的计算与MFP的相互作用有关。当远组对的标准变得更严格时,近组对会增加,以便获得相对较高的准确解。为了减轻这个问题,ACA算法被用来处理近群对。与传统的FDM-CBFM相比,ACA有效压缩了与近群对相互作用相关的子矩阵,因此可以有效地计算近群对之间的MVP和VMVP。数值结果表明了ACA-FDM-CBFM的效率和准确性。

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