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dc.contributor.authorSimpson, Oluyomi
dc.contributor.authorSun, Yichuang
dc.contributor.authorAbdulkadir, Yusuf
dc.contributor.authorEl Cheikh, Mohamad
dc.date.accessioned2019-04-11T14:10:01Z
dc.date.available2019-04-11T14:10:01Z
dc.date.issued2018-06-14
dc.identifier.citationSimpson , O , Sun , Y , Abdulkadir , Y & El Cheikh , M 2018 , Spectrum Sensing of DVB-T2 Signals in Multipath Channels for Cognitive Radio Networks . in European Wireless 2018; 24th European Wireless Conference . VDE VERLAG GMBH , pp. 237-241 , 24th European Wireless Conference , Catania , Italy , 2/05/18 .
dc.identifier.citationconference
dc.identifier.isbn978-3-8007-4560-9
dc.identifier.otherPURE: 16587909
dc.identifier.otherPURE UUID: 559ea11f-128d-41ec-bbcd-76602db4faa6
dc.identifier.otherScopus: 85050037767
dc.identifier.urihttp://hdl.handle.net/2299/21257
dc.description© 2018 VDE VERLAG GMBH
dc.description.abstractIn this paper, spectrum sensing of digital video broadcasting-second generation terrestrial (DVB-T2) signals in different fading environments with energy detection (ED) is considered. ED is known to achieve an increased performance among low computational complexity detectors, but it is susceptible to noise uncertainty. By taking into consideration the edge pilot and scattered pilot periodicity in DVB-T2 signals, a low computational complex noise power estimator is proposed. It is shown analytically that the choice of detector depends on the environment, the detector requirements, the available prior knowledge and with the noise power estimator. Simulation confirm that with the noise power estimator, ED significantly outperforms the pilot correlation-based detectors. Simulation also show that the proposed scheme enables ED to obtain increased detection performance in fading channels.en
dc.format.extent5
dc.language.isoeng
dc.publisherVDE VERLAG GMBH
dc.relation.ispartofEuropean Wireless 2018; 24th European Wireless Conference
dc.subjectCognitive radio
dc.subjectDVB-T2
dc.subjectNoise estimation
dc.subjectSpectrum sensing
dc.subjectHardware and Architecture
dc.subjectComputer Networks and Communications
dc.titleSpectrum Sensing of DVB-T2 Signals in Multipath Channels for Cognitive Radio Networksen
dc.contributor.institutionSchool of Engineering and Technology
dc.contributor.institutionCentre for Engineering Research
dc.contributor.institutionRadio and Mobile Communication Systems
dc.contributor.institutionSmart Electronics Devices and Networks
dc.contributor.institutionCommunications and Intelligent Systems
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85050037767&partnerID=8YFLogxK
dc.identifier.urlhttps://ieeexplore.ieee.org/document/8385554
rioxxterms.versionAM
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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