Efficient Sparse Algorithm for Solving Multi-Objects Scattering Based on Compressive Sensing

被引：0
|
作者：
Chai, Doudou [1 ,2 ]
Wang, Yiying [1 ,2 ]
机构：
[1] Hefei Normal Univ, Anhui Prov Key Lab Simulat & Design Elect Informa, Hefei 230601, Anhui, Peoples R China
[2] Hefei Normal Univ, Sch Elect Informat & Elect Engn, Hefei 230601, Anhui, Peoples R China
来源：
PROGRESS IN ELECTROMAGNETICS RESEARCH M | 2019年 / 84卷 / 43-51期
关键词：
DOMAIN DECOMPOSITION METHOD; INTEGRAL-EQUATION;
D O I：
10.2528/PIERM19051205
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
To improve computational efficiency of traditional method for solving separable multi- objects scattering problems, each subdomain impedance matrix is sparsified by biorthogonal lifting wavelet transform(BLWT) without allocating auxiliary memory, and a sparse underdetermined equation is constructed by enjoying the prior knowledge from known excitation in wavelet domain, then orthogonal matching pursuit (OMP) is employed to fast and accurately solve the sparse underdetermined equation under compressive sensing (CS) framework. Numerical results of separable perfectly electric conduct (PEC) multi-objects are presented to show the efficiency of the proposed method.
引用
收藏
页码：43 / 51
页数：9
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