Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6424
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dc.contributor.authorGürbüz, Ali Cafer-
dc.contributor.authorMcClellan, James H.-
dc.contributor.authorScott, Waymond R., Jr.-
dc.date.accessioned2021-09-11T15:36:25Z-
dc.date.available2021-09-11T15:36:25Z-
dc.date.issued2009en_US
dc.identifier.issn0165-1684-
dc.identifier.issn1872-7557-
dc.identifier.urihttps://doi.org/10.1016/j.sigpro.2009.03.030-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/6424-
dc.description.abstractThe theory of compressive sensing (CS) enables the reconstruction of sparse signals from a small set of non-adaptive linear measurements by solving a convex l(1) minimization problem. This paper presents a novel data acquisition system for wideband synthetic aperture imaging based on CS by exploiting sparseness of point-like targets in the image space. Instead of measuring sensor returns by sampling at the Nyquist rate, linear projections of the returned signals with random vectors are used as measurements. Furthermore, random sampling along the synthetic aperture scan points can be incorporated into the data acquisition scheme. The required number of CS measurements can be an order of magnitude less than uniform sampling of the space-time data. For the application of underground imaging with ground penetrating radars (GPR), typical images contain only a few targets. Thus we show, using simulated and experimental GPR data, that sparser target space images are obtained which are also less cluttered when compared to standard imaging results. (C) 2009 Elsevier B.V. All rights reserved.en_US
dc.description.sponsorshipARO-MURIMURI; Multi-Modal Inverse Scattering for Detection and Classification of General Concealed Targets [DAAD19-02-1-0252]en_US
dc.description.sponsorshipThis work supported by an ARO-MURI grant: "Multi-Modal Inverse Scattering for Detection and Classification of General Concealed Targets", under Contract number DAAD19-02-1-0252.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofSignal Processingen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCompressive sensingen_US
dc.subjectSynthetic apertureen_US
dc.subjectGround penetrating radar (GPR)en_US
dc.subjectl(1) Minimizationen_US
dc.subjectSubsurface imagingen_US
dc.subjectSparsityen_US
dc.subjectSource localizationen_US
dc.titleCompressive Sensing for Subsurface Imaging Using Ground Penetrating Radaren_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.volume89en_US
dc.identifier.issue10en_US
dc.identifier.startpage1959en_US
dc.identifier.endpage1972en_US
dc.authorid0000-0001-8923-0299-
dc.authorid0000-0001-8923-0299-
dc.identifier.wosWOS:000267692200010en_US
dc.identifier.scopus2-s2.0-67349160257en_US
dc.institutionauthorGürbüz, Ali Cafer-
dc.identifier.doi10.1016/j.sigpro.2009.03.030-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
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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