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Spectrum Sensing with Periodic Non-Uniform Sampling

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dc.contributor.authorCelebi, Hasan Basri
dc.contributor.authorDurak-Ata, Lutfiye
dc.date.accessioned2026-06-27T13:54:32Z
dc.date.issued2015
dc.description.abstractNew wireless communication technologies increase the demand for spectrum sensing. However due to the limitations of analogue-to-digital converters, sampling a wide spectrum still remains as a major problem. In this paper, a method for estimating the power spectrum density (PSD) from multi-coset (MC) samples, which is a special sub-Nyquist sampling method, is explained. In order to see the feasibility of the method, wide-sense spectrum measurements are taken from a vector signal analyzer and each measurement is MC sampled. Then the PSD estimation is compared with the original PSD of the signal. False alarm rates for different variations are analyzed.en
dc.identifier.endpage2190
dc.identifier.isbn978-1-4673-7386-9
dc.identifier.issn2165-0608
dc.identifier.startpage2190
dc.identifier.urihttps://hdl.handle.net/20.500.14981/55570
dc.identifier.wos000380500900528
dc.language.isotur
dc.publisherIEEE
dc.relation.conference23nd Signal Processing and Communications Applications Conference (SIU)
dc.relation.ispartof2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)
dc.subjectSub-Nyquist sampling
dc.subjectmulti-coset sampling
dc.subjectpower spectral density
dc.subjectEngineering
dc.subjectTelecommunications
dc.titleSpectrum Sensing with Periodic Non-Uniform Sampling
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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