Compressed sensing on ambiguity function domain for high resolution detection

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buir.contributor.authorArıkan, Orhan
buir.contributor.orcidArıkan, Orhan|0000-0002-3698-8888
dc.citation.epage68en_US
dc.citation.spage65en_US
dc.contributor.authorGüldoǧan, Mehmet B.en_US
dc.contributor.authorPilancı, Merten_US
dc.contributor.authorArıkan, Orhanen_US
dc.coverage.spatialDiyarbakir, Turkeyen_US
dc.date.accessioned2016-02-08T12:20:18Z
dc.date.available2016-02-08T12:20:18Z
dc.date.issued2010en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 22-24 April 2010en_US
dc.description.abstractIn this paper, by using compressed sensing techniques, a new approach to achieve robust high resolution detection in sparse multipath channels is presented. Currently used sparse reconstruction techniques are not immediately applicable in wireless channel modeling and radar signal processing. Here, we make use of the cross-ambiguity function (CAF) and transformed the reconstruction problem from time to delay-Doppler domain for efficient exploitation of the delay-Doppler diversity of the multipath components. Simulation results quantify the performance gain and robustness obtained by this new CAF based compressed sensing approach. ©2010 IEEE.en_US
dc.identifier.doi10.1109/SIU.2010.5650397en_US
dc.identifier.urihttp://hdl.handle.net/11693/28426
dc.language.isoTurkishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SIU.2010.5650397en_US
dc.source.title2010 IEEE 18th Signal Processing and Communications Applications Conferenceen_US
dc.subjectAmbiguity functionen_US
dc.subjectCompressed sensingen_US
dc.subjectCross-ambiguity functionen_US
dc.subjectDoppleren_US
dc.subjectDoppler diversityen_US
dc.subjectHigh resolution detectionen_US
dc.subjectMulti-path componentsen_US
dc.subjectNew approachesen_US
dc.subjectPerformance Gainen_US
dc.subjectRadar signal processingen_US
dc.subjectReconstruction problemsen_US
dc.subjectSimulation resulten_US
dc.subjectSparse multi-path channelen_US
dc.subjectSparse reconstructionen_US
dc.subjectWireless channel modelingen_US
dc.subjectRoom and pillar miningen_US
dc.subjectSensorsen_US
dc.subjectSignal processingen_US
dc.subjectSignal reconstructionen_US
dc.subjectSignal detectionen_US
dc.titleCompressed sensing on ambiguity function domain for high resolution detectionen_US
dc.title.alternativeYüksek çözünürlüklü tespit için belirsizlik fonksiyonu düzleminde Sıkıştırılmış algilamaen_US
dc.typeConference Paperen_US

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Compressed sensing on ambiguity function domain for high resolution detection [Yüksek çözünürlüklü tespit için belirsizlik fonksiyonu düzleminde sikiştirilmiş algilama].pdf
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