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dc.contributor.authorSimpson, Oluyomi
dc.contributor.authorAbdulkadir, Yusuf
dc.contributor.authorSun, Yichuang
dc.contributor.authorEl Cheikh, Mohamad
dc.date.accessioned2018-12-17T14:36:37Z
dc.date.available2018-12-17T14:36:37Z
dc.date.issued2018-08-28
dc.identifier.citationSimpson , O , Abdulkadir , Y , Sun , Y & El Cheikh , M 2018 , ' Spectrum Sensing of DVB-T2 Signals using a Low Computational Noise Power Estimation ' , International Wireless Communications and Mobile Computing Conference , pp. 1005-1010 . https://doi.org/10.1109/IWCMC.2018.8450516
dc.identifier.issn2376-6506
dc.identifier.otherPURE: 15274769
dc.identifier.otherPURE UUID: c7f9eafc-088c-4ff1-a611-941bc7a97f31
dc.identifier.otherScopus: 85053934430
dc.identifier.urihttp://hdl.handle.net/2299/20865
dc.description© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted ncomponent of this work in other works.
dc.description.abstractCognitive radio is a promising technology that answers the spectrum scarcity problem arising from the proliferation of wireless networks and mobile services. In this paper, spectrum sensing of digital video broadcasting-second generation terrestrial (DVB-T2) signals in AWGN, WRAN and COST207 multipath fading environment are considered. ED is known to achieve an increased performance among low computational complexity detectors, but it is susceptible to noise uncertainty. Taking into consideration the edge pilot and scattered pilot periodicity in DVB-T2 signals, a low computational noise power estimator is proposed. Analytical forms for the detector are derived. Simulation results show 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 multi-path fading environments. Moreover, based on this algorithm a practical sensing scheme for cognitive radio networks is proposed.en
dc.format.extent6
dc.language.isoeng
dc.relation.ispartofInternational Wireless Communications and Mobile Computing Conference
dc.subjectenergy detection
dc.subjectspectrum sensing
dc.subjectcognitive radio
dc.subjectDVB-T2
dc.subjectDTT
dc.subjectnoise estimation
dc.subjectElectrical and Electronic Engineering
dc.titleSpectrum Sensing of DVB-T2 Signals using a Low Computational Noise Power Estimationen
dc.contributor.institutionSchool of Engineering and Technology
dc.contributor.institutionCentre for Engineering Research
dc.contributor.institutionCommunications and Intelligent Systems
dc.description.statusPeer reviewed
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85053934430&partnerID=8YFLogxK
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1109/IWCMC.2018.8450516
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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