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dc.contributor.authorTeke, Oguzhanen_US
dc.contributor.authorArıkan, Orhanen_US
dc.contributor.authorGürbüz, A.C.en_US
dc.coverage.spatialHaspolat, Turkeyen_US
dc.date.accessioned2016-02-08T12:08:02Z
dc.date.available2016-02-08T12:08:02Z
dc.date.issued2013en_US
dc.identifier.urihttp://hdl.handle.net/11693/28002
dc.descriptionDate of Conference: 24-26 April 2013en_US
dc.description.abstractCompressive Sensing theory shows that, a sparse signal can be reconstructed from its sub-Nyquist rate random samples. With this property, CS approach has many applications. Radar systems, which deal with sparse signal due to its nature, is one of the important application of CS theory. Even if CS approach is suitable for radar systems, classical detections schemes under Neyman-Pearson formulations may result high probability of false alarm, when CS approach is used, especially if the target has off-grid parameters. In this study, a new detection scheme which enables CS techniques to be used in radar systems is investigated. © 2013 IEEE.en_US
dc.language.isoTurkishen_US
dc.source.title2013 21st Signal Processing and Communications Applications Conference (SIU)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SIU.2013.6531496en_US
dc.subjectCompressive sensingen_US
dc.subjectRadar signal processingen_US
dc.subjectCompressive sensingen_US
dc.subjectDetection schemeen_US
dc.subjectHigh probabilityen_US
dc.subjectNeyman-pearsonen_US
dc.subjectOff-gridsen_US
dc.subjectRadar signal processingen_US
dc.subjectRandom sampleen_US
dc.subjectSparse signalsen_US
dc.subjectDoppler radaren_US
dc.subjectRadar systemsen_US
dc.subjectSignal detectionen_US
dc.subjectSignal reconstructionen_US
dc.titleCompressive sensing based target detection in delay-doppler radarsen_US
dc.title.alternativeSıkıştırılmış algilama ile darbe-doppler radar hedef tespitien_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.identifier.doi10.1109/SIU.2013.6531496en_US
dc.publisherIEEEen_US


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