Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6330
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dc.contributor.authorÇamlıca, Sedat-
dc.contributor.authorGürbüz, Ali Cafer-
dc.contributor.authorArıkan, Orhan-
dc.date.accessioned2021-09-11T15:35:51Z-
dc.date.available2021-09-11T15:35:51Z-
dc.date.issued2017en_US
dc.identifier.issn0018-9251-
dc.identifier.issn1557-9603-
dc.identifier.urihttps://doi.org/10.1109/TAES.2017.2675138-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/6330-
dc.description.abstractSynthetic aperture radar (SAR) has significant role in remote sensing. Phase errors due to uncompensated platform motion, measurement model mismatch, and measurement noise can cause degradations in SAR image reconstruction. For efficient processing of the measurements, image plane is discretized and autofocusing algorithms on this discrete grid are employed. However, in addition to the platform motion errors, the reflectors, which are not exactly on the reconstruction grid, also degrade the image quality. This is called the off-grid target problem. In this paper, a sparsity-based technique is developed for autofocused spotlight SAR image reconstruction that can correct phase errors due to uncompensated platform motion and provide robust images in the presence of off-grid targets. The proposed orthogonal matching pursuit-based reconstruction technique uses gradient descent parameter updates with built in autofocus. The technique can reconstruct high-quality images by using sub Nyquist rate of sampling on the reflected signals at the receiver. The results obtained using both simulated and real SAR system data show that the proposed technique provides higher quality reconstructions over alternative techniques in terms of commonly used performance metrics.en_US
dc.description.sponsorshipTUBITAKTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [113E515]en_US
dc.description.sponsorshipThis work was supported by TUBITAK within 1001 research program Grant project 113E515.en_US
dc.language.isoenen_US
dc.publisherIEEE-Inst Electrical Electronics Engineers Incen_US
dc.relation.ispartofIEEE Transactions On Aerospace And Electronic Systemsen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subject[No Keywords]en_US
dc.titleAutofocused Spotlight Sar Image Reconstruction of Off-Grid Sparse Scenesen_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.volume53en_US
dc.identifier.issue4en_US
dc.identifier.startpage1880en_US
dc.identifier.endpage1892en_US
dc.authorid0000-0001-8923-0299-
dc.authorid0000-0002-3698-8888-
dc.identifier.wosWOS:000407488300020en_US
dc.identifier.scopus2-s2.0-85029582577en_US
dc.institutionauthorGürbüz, Ali Cafer-
dc.identifier.doi10.1109/TAES.2017.2675138-
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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