Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6148
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dc.contributor.authorTeke, Oğuzhan-
dc.contributor.authorGürbüz, Ali Cafer-
dc.contributor.authorArıkan, Orhan-
dc.date.accessioned2021-09-11T15:35:05Z-
dc.date.available2021-09-11T15:35:05Z-
dc.date.issued2014en_US
dc.identifier.issn1051-2004-
dc.identifier.issn1095-4333-
dc.identifier.urihttps://doi.org/10.1016/j.dsp.2013.12.008-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/6148-
dc.description.abstractPulse-Doppler radar has been successfully applied to surveillance and tracking of both moving and stationary targets. For efficient processing of radar returns, delay-Doppler plane is discretized and FFT techniques are employed to compute matched filter output on this discrete grid. However, for targets whose delay-Doppler values do not coincide with the computation grid, the detection performance degrades considerably. Especially for detecting strong and closely spaced targets this causes miss detections and false alarms. This phenomena is known as the off-grid problem. Although compressive sensing based techniques provide sparse and high resolution results at sub-Nyquist sampling rates, straightforward application of these techniques is significantly more sensitive to the off-grid problem. Here a novel parameter perturbation based sparse reconstruction technique is proposed for robust delayDoppler radar processing even under the off-grid case. Although the perturbation idea is general and can be implemented in association with other greedy techniques, presently it is used within an orthogonal matching pursuit (OMP) framework. In the proposed technique, the selected dictionary parameters are perturbed towards directions to decrease the orthogonal residual norm. The obtained results show that accurate and sparse reconstructions can be obtained for off-grid multi target cases. A new performance metric based on Kullback-Leibler Divergence (KLD) is proposed to better characterize the error between actual and reconstructed parameter spaces. Increased performance with lower reconstruction errors are obtained for all the tested performance criteria for the proposed technique compared to conventional OMP and Lj minimization techniques. (C) 2013 Elsevier Inc. All rights reserved.en_US
dc.language.isoenen_US
dc.publisherAcademic Press Inc Elsevier Scienceen_US
dc.relation.ispartofDigital Signal Processingen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCompressive sensingen_US
dc.subjectOff-griden_US
dc.subjectRadaren_US
dc.subjectDelay-Doppleren_US
dc.subjectPerturbationen_US
dc.titleA robust compressive sensing based technique for reconstruction of sparse radar 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.volume27en_US
dc.identifier.startpage23en_US
dc.identifier.endpage32en_US
dc.authorid0000-0001-8923-0299-
dc.authorid0000-0002-3698-8888-
dc.identifier.wosWOS:000334822800003en_US
dc.identifier.scopus2-s2.0-84897632309en_US
dc.institutionauthorGürbüz, Ali Cafer-
dc.identifier.doi10.1016/j.dsp.2013.12.008-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ2-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
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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