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所属单位：电子信息工程学院

发表刊物：IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY

关键字：Adaptive cross approximation (ACA) characteristic basis function method (CBFM) fast direct solver method of moments (MoM) multiscale compression and splicing (MSCS) Sherman-Morrison-Woodbury (SMW) formula

摘要：In this paper, a multiscale compressed and spliced Sherman-Morrison-Woodbury algorithm (MSCS-SMWA), based on the characteristic basis function method (CBFM), has been presented to accelerate direct solutions of electromagnetic scattering. The impedance matrix or reduced matrix can be compressed into block diagonal matrices with the adaptive cross approximation (ACA) and easily obtained the matrix inverse with this method. The MSCS-SMWA method is combined with a multiscale compressed ACA and a multiscale spliced singular value decomposition (SVD). The numerical results of several perfect electric conducting (PEC) objects are validated to demonstrate the performance of this method. Compared with the conventional methods, SMWA with the ACA and CBFM, the simulation results of the proposal method have been shown that the computation time and storage requirements have reduced about 10.77% and 44.22%, for the sphere with 10 lambda radius. Also, it costs 49.16% less CPU time and 1.54% less memory than the conventional method with SVD.

ISSN号：0018-9375

是否译文：否

发表时间：2018-06-01

合写作者：Fang, Xiaoxing,王毅

通讯作者：曹群生