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dc.contributor.authorZhong, Yu
dc.contributor.authorZardi, Francesco
dc.contributor.authorSalucci, Marco
dc.contributor.authorOliveri, Giacomo
dc.contributor.authorMassa, Andrea
dc.date.accessioned2024-03-25T12:55:03Z
dc.date.available2024-03-25T12:55:03Z
dc.date.issued2023-03-10
dc.description.abstractPractical applications of microwave imaging often require the solution of inverse scattering problems with inhomogeneous backgrounds. Toward this end, a novel inversion strategy, which combines the multiscaling (MS) regularization scheme and the difference contraction integral equation (DCIE) formulation, is proposed. Such an integrated approach mitigates the nonlinearity and the ill-posedness of the problem to obtain reliable high-resolution reconstructions of the unknown scattering profiles. The arising algorithmic implementation, denoted as MS-DCIE, does not require the computation of Green’s function of the inhomogeneous background, and thus, it provides an efficient and effective way to deal with complex scenarios. The performance of the MS-DCIE is assessed by means of numerical and experimental tests in comparison with competitive state-of-the-art inversion strategies as well.en_US
dc.identifier.citationZhong, Zardi, Salucci, Oliveri, Massa. Multiscaling Differential Contraction Integral Method for Inverse Scattering Problems with Inhomogeneous Media. IEEE transactions on microwave theory and techniques. 2023;71(9):4064-4079en_US
dc.identifier.cristinIDFRIDAID 2189292
dc.identifier.doi10.1109/TMTT.2023.3251573
dc.identifier.issn0018-9480
dc.identifier.issn1557-9670
dc.identifier.urihttps://hdl.handle.net/10037/33262
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.journalIEEE transactions on microwave theory and techniques
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.titleMultiscaling Differential Contraction Integral Method for Inverse Scattering Problems with Inhomogeneous Mediaen_US
dc.type.versionacceptedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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