Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7486
Full metadata record
DC FieldValueLanguage
dc.contributor.authorİlhan, İhsan-
dc.contributor.authorGürbüz, Ali Cafer-
dc.contributor.authorArıkan, Orhan-
dc.date.accessioned2021-09-11T15:57:20Z-
dc.date.available2021-09-11T15:57:20Z-
dc.date.issued2015en_US
dc.identifier.citationIEEE International Conference on Digital Signal Processing (DSP) -- JUL 21-24, 2015 -- Singapore, SINGAPOREen_US
dc.identifier.isbn978-1-4799-8058-1-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/7486-
dc.description.abstractStrecth Processing (SP) is a radar signal processing technique that provides high-range resolution with processing large bandwidth signals with lower rate Analog to Digital Converter(ADC)s. The range resolution of the large bandwidth signal is obtained through looking into a limited range window and low rate ADC samples. The target space in the observed range window is sparse and Compressive sensing(CS) is an important tool to further decrease the number of measurements and sparsely reconstruct the target space for sparse scenes with a known basis which is the Fourier basis in the general application of SP. Although classical CS techniques might be directly applied to SP, due to off-grid targets reconstruction performance degrades. In this paper, applicability of compressive sensing framework and its sparse signal recovery techniques to strecth processing is studied considering off-grid cases. For sparsity based robust SP, Perturbed Parameter Orthogonal Matching Pursuit(PPOMP) algorithm is proposed. PPOMP is an iterative technique that estimates off-grid target parameters through a gradient descent. To compute the error between actual and reconstructed parameters, Earth Movers Distance(EMD) is used. Performance of proposed algorithm are compared with classical CS and SP techniques.en_US
dc.description.sponsorshipIEEE Circuits and Syst Singapore Chapter, Imperial Coll London, IEEE, ROSE, NANYANG TECHNOL UNIV Temasek Labs NTU, parisstandforden_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2015 IEEE International Conference On Digital Signal Processing (Dsp)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject[No Keywords]en_US
dc.titleSparsity Based Robust Stretch Processingen_US
dc.typeConference Objecten_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.startpage95en_US
dc.identifier.endpage99en_US
dc.authorid0000-0001-8923-0299-
dc.authorid0000-0002-3698-8888-
dc.identifier.wosWOS:000380506600019en_US
dc.identifier.scopus2-s2.0-84961386544en_US
dc.institutionauthorGürbüz, Ali Cafer-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conferenceIEEE International Conference on Digital Signal Processing (DSP)en_US
item.openairetypeConference Object-
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
Show simple item record



CORE Recommender

WEB OF SCIENCETM
Citations

3
checked on Dec 21, 2024

Page view(s)

52
checked on Dec 23, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.