Off-grid sparse blind sensor calibration

buir.contributor.authorArıkan, Orhan
buir.contributor.orcidArıkan, Orhan|0000-0002-3698-8888
dc.contributor.authorÇamlıca, S.en_US
dc.contributor.authorYetik, I. Ş.en_US
dc.contributor.authorArıkan, Orhanen_US
dc.coverage.spatialIzmir, Turkeyen_US
dc.date.accessioned2019-02-21T16:05:00Zen_US
dc.date.available2019-02-21T16:05:00Zen_US
dc.date.issued2018en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 2-5 May 2018en_US
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.identifier.doi10.1109/SIU.2018.8404480en_US
dc.identifier.isbn9781538615010en_US
dc.identifier.urihttp://hdl.handle.net/11693/50225en_US
dc.language.isoTurkishen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttps://doi.org/10.1109/SIU.2018.8404480en_US
dc.source.title2018 26th Signal Processing and Communications Applications Conference (SIU)en_US
dc.subjectBlind calibrationen_US
dc.subjectCompressive Sensingen_US
dc.subjectOff-griden_US
dc.titleOff-grid sparse blind sensor calibrationen_US
dc.title.alternativeIzgara dışı seyrek kör sensör kalibrasyonuen_US
dc.typeConference Paperen_US

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