A qualitative analysis of bifocusing method for a real-time anomaly detection in microwave imaging

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dc.contributor.authorKang, Sangwooko
dc.contributor.authorPark, Won-Kwangko
dc.contributor.authorSon, Seong-Hoko
dc.date.accessioned2023-04-03T03:00:09Z-
dc.date.available2023-04-03T03:00:09Z-
dc.date.created2023-04-03-
dc.date.issued2023-05-
dc.identifier.citationCOMPUTERS & MATHEMATICS WITH APPLICATIONS, v.137, pp.93 - 101-
dc.identifier.issn0898-1221-
dc.identifier.urihttp://hdl.handle.net/10203/305930-
dc.description.abstractIn this contribution, we consider the bifocusing method (BFM) for identifying small anomalies from scattering parameter data in microwave imaging. To this end, we design an imaging function of BFM and perform a qualitative analysis for the imaging function by establishing a relationship with the infinite series of Bessel functions of integer order, applied frequency, material properties, and the antenna arrangement. The revealed mathematical structure of the imaging function and simulation results with synthetic data show why BFM is fast and effective for identifying unknown anomalies in microwave imaging.-
dc.languageEnglish-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.titleA qualitative analysis of bifocusing method for a real-time anomaly detection in microwave imaging-
dc.typeArticle-
dc.identifier.wosid000951447100001-
dc.identifier.scopusid2-s2.0-85150045403-
dc.type.rimsART-
dc.citation.volume137-
dc.citation.beginningpage93-
dc.citation.endingpage101-
dc.citation.publicationnameCOMPUTERS & MATHEMATICS WITH APPLICATIONS-
dc.identifier.doi10.1016/j.camwa.2023.02.017-
dc.contributor.localauthorKang, Sangwoo-
dc.contributor.nonIdAuthorPark, Won-Kwang-
dc.contributor.nonIdAuthorSon, Seong-Ho-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorBifocusing method-
dc.subject.keywordAuthorMicrowave imaging-
dc.subject.keywordAuthorScattering parameter-
dc.subject.keywordAuthorSimulation results-
dc.subject.keywordPlusMULTIFREQUENCY SUBSPACE MIGRATION-
dc.subject.keywordPlusSAMPLING METHOD-
dc.subject.keywordPlusRECONSTRUCTION-
dc.subject.keywordPlusTOMOGRAPHY-
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