Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7173
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dc.contributor.authorÇamlıca, Sedat-
dc.contributor.authorYetik, İmam Şamil-
dc.contributor.authorArıkan, Orhan-
dc.date.accessioned2021-09-11T15:55:52Z-
dc.date.available2021-09-11T15:55:52Z-
dc.date.issued2018-
dc.identifier.citation26th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEYen_US
dc.identifier.isbn978-1-5386-1501-0-
dc.identifier.issn2165-0608-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/7173-
dc.description.abstractCompressive Sensing (CS) based techniques generally discretize the signal space and assume that the signal is sparse and has support only on the discretized grid points. Due to continuous nature of the signals, representing the signal on a discretized grid results in the off-grid problem. Improper calibration is also another issue which can cause performance degradation. In this paper, a CS based blind calibration method is proposed for the multiple off-grid signal case. Proposed method is capable of estimating the off-grid signal parameters and correcting the gain and the phase errors simultaneously. Simulation analysis is performed and comments are drawn. Results show that the proposed method have superior performance in terms of the calculated metrics.en_US
dc.description.sponsorshipIEEE, Huawei, Aselsan, NETAS, IEEE Turkey Sect, IEEE Signal Proc Soc, IEEE Commun Soc, ViSRATEK, Adresgezgini, Rohde & Schwarz, Integrated Syst & Syst Design, Atilim Univ, Havelsan, Izmir Katip Celebi Univen_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof2018 26Th Signal Processing And Communications Applications Conference (Siu)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCompressive Sensingen_US
dc.subjectblind calibrationen_US
dc.subjectoff-griden_US
dc.titleOff-Grid Sparse Blind Sensor Calibrationen_US
dc.typeConference Objecten_US
dc.relation.ispartofseriesSignal Processing and Communications Applications Conference-
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümüen_US
dc.identifier.wosWOS:000511448500333-
dc.identifier.scopus2-s2.0-85050829025-
dc.institutionauthorYetik, Imam Şamil-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conference26th IEEE Signal Processing and Communications Applications Conference (SIU)en_US
dc.identifier.scopusqualityN/A-
dc.identifier.wosqualityN/A-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.languageiso639-1tr-
item.openairetypeConference Object-
item.cerifentitytypePublications-
crisitem.author.dept02.5. Department of Electrical and Electronics Engineering-
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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