EFFICIENT SPARSE ALGORITHM FOR SOLVING MULTI-OBJECTS SCATTERING BASED ON COMPRESSIVE SENSING | Zendy

Doudou Chai | Zendy; Yiying Wang | Zendy

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EFFICIENT SPARSE ALGORITHM FOR SOLVING MULTI-OBJECTS SCATTERING BASED ON COMPRESSIVE SENSING

Author(s) -

Doudou Chai,

Yiying Wang

Publication year - 2019

Publication title -

progress in electromagnetics research m

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.216

H-Index - 31

ISSN - 1937-8726

DOI - 10.2528/pierm19051205

Subject(s) - compressed sensing , computer science , algorithm

To improve computational efficiency of traditional method for solving separable multiobjects 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.

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