Open AccessA multi-focusing contrast source Bayesian compressive method for solving inverse scattering problems
Author(s) -
Giorgio Gottardi,
Mohammad Abdul Hannan,
Alessandro Polo
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1476/1/012013
Subject(s) - solver , a priori and a posteriori , inversion (geology) , inverse scattering problem , computer science , compressed sensing , inverse problem , inverse , scaling , contrast (vision) , iterative method , algorithm , scattering , bayesian probability , mathematical optimization , mathematics , artificial intelligence , optics , physics , geology , mathematical analysis , geometry , paleontology , philosophy , epistemology , structural basin
This work presents a novel inverse scattering ( IS ) methodology to deal wit.li the retrieval of the electromagnetic ( EM ) properties of unknown scat.t.erers. The proposed technique is based on the effective combination of a customized Bayesian compressive sensing ( BCS ) solver wit.li the iterative multi-scaling approach ( IMSA ). Accordingly, a-priori information on the class of imaged targets as well as progressively acquired information on their location and size is exploited to yield accurate and robust reconstructions. Moreover, a contrast source inversion ( CSI ) formulation is adopted in order to enable the retrieval of lion-Born scat.t.erers. Numerical results are shown to verify the effectiveness of the proposed IMSA-BCS-CSI method, as well as to compare it with state-of-the-art alternatives.