Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7270
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dc.contributor.authorDuman, Muhammed-
dc.contributor.authorGürbüz, Ali Cafer-
dc.date.accessioned2021-09-11T15:56:11Z-
dc.date.available2021-09-11T15:56:11Z-
dc.date.issued2012en_US
dc.identifier.issn1687-5869-
dc.identifier.issn1687-5877-
dc.identifier.urihttps://doi.org/10.1155/2012/405145-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/7270-
dc.description.abstractCompressive sensing (CS) has been shown to be a useful tool for subsurface or through-the-wall imaging (TWI) using ground penetrating radar (GPR). It has been used to decrease both time/frequency or spatial measurements and generate high-resolution images. Although current works apply CS directly to TWI, questions on the required number of measurements for a sparsity level, measurement strategy to subsample in frequency and space, or imaging performance in varying noise levels and limits on CS range resolution performance still needs to be answered. In addition current CS-based imaging methods are based on two basic assumptions; targets are point like and positioned at only discrete grid locations and wall thickness and its dielectric constant are perfectly known. However, these assumptions are not usually valid in most TWI applications. This work extends the theory of CS-based radar imaging developed for subsurface imaging to TWI and outlines the performance of the proposed imaging for the above-mentioned questions using numerical simulations. The effect of unknown parameters on the imaging performance is analyzed, and it is observed that off-the-grid point targets and big modeling errors decreases the performance of CS imaging.en_US
dc.description.sponsorshipScientific and technical Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [109E280]; Marie Curie IRG GrantEuropean Commission [PIRG04-GA-2008-239506]en_US
dc.description.sponsorshipThis work was supported by the Scientific and technical Research Council of Turkey (TUBITAK) under Contract Agreement 109E280 and within the Marie Curie IRG Grant with Grant Agreement PIRG04-GA-2008-239506.en_US
dc.language.isoenen_US
dc.publisherHindawi Ltden_US
dc.relation.ispartofInternational Journal of Antennas And Propagationen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subject[No Keywords]en_US
dc.titlePerformance Analysis of Compressive-Sensing Through-The Imaging With Effect of Unknown Parametersen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümütr_TR
dc.identifier.volume2012en_US
dc.authorid0000-0001-8923-0299-
dc.identifier.wosWOS:000307585800001en_US
dc.identifier.scopus2-s2.0-84864976354en_US
dc.institutionauthorDuman, Muhammed-
dc.institutionauthorGürbüz, Ali Cafer-
dc.identifier.doi10.1155/2012/405145-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ2-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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