An Analysis for the Use of Compressed Sensing Method in Microwave Imaging

dc.contributor.authorYiğit, Enes
dc.contributor.authorTekbaş, Mustafa
dc.contributor.authorÜnal, İlhami
dc.contributor.authorErdoğan, Sercan
dc.contributor.authorÇalışkan, Cafer
dc.date.accessioned2020-12-27T17:18:54Z
dc.date.available2020-12-27T17:18:54Z
dc.date.issued2017
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractOne of the most important problems encountered in microwave imaging methods is intensive data processing traffic that occurs when high resolution and real time tracking is desired. Radar signals can be recovered without loss of data with a randomly selected subset of the measurement data by compression sensing (CS) method which has been popular in recent years. For this reason, in this study, the use and capabilities of the CS method were investigated for tracking moving human, and the target information was correctly determined for the data obtained much below the Nyquist sampling criterion. In this study, it was revealed that the CS method can be developed for target detection and trackingen_US
dc.identifier.citation1
dc.identifier.isbn978-1-5090-6494-6
dc.identifier.issn2165-0608en_US
dc.identifier.issn2165-0608
dc.identifier.urihttps://hdl.handle.net/20.500.12469/3685
dc.identifier.wosWOS:000413813100341en_US
dc.institutionauthorÇalışkan, Caferen_US
dc.institutionauthorÇalışkan, Cafer
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.journal2017 25th Signal Processing and Communications Applications Conference (SIU)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCompressed sensingen_US
dc.subjectMicrowave imagingen_US
dc.titleAn Analysis for the Use of Compressed Sensing Method in Microwave Imagingen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
relation.isAuthorOfPublication1cda790d-8284-4626-b5a6-bbd65355a94c
relation.isAuthorOfPublication.latestForDiscovery1cda790d-8284-4626-b5a6-bbd65355a94c

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