Achievable Performance of Bayesian Compressive Sensing Based Spectrum Sensing

dc.contributor.authorErküçük, Serhat
dc.contributor.authorErküçük, Serhat
dc.contributor.authorÇırpan, Hakan Ali
dc.date.accessioned2019-06-27T08:03:15Z
dc.date.available2019-06-27T08:03:15Z
dc.date.issued2014
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractIn wideband spectrum sensing compressive sensing approaches have been used at the receiver side to decrease the sampling rate if the wideband signal can be represented as sparse in a given domain. While most studies consider the reconstruction of primary user's signal accurately it is indeed more important to analyze the presence or absence of the signal correctly. Furthermore these studies do not consider the achievable lower bounds of reconstruction error and how well the selected method performs correspondingly. Motivated by these issues we investigate in detail the primary user detection performance of Bayesian compressive sensing (BCS) approach in this paper. Accordingly we (i) determine the BCS signal reconstruction performance in terms of mean-square error (MSE) compression ratio and signal-to-noise ratio (SNR) and compare it with the conventionally used basis pursuit approach (ii) determine how well BCS performs compared with the Bayesian Cramer-Rao lower bound (BCRLB) of the signal reconstruction error and (iii) assess the probability of detection performance of BCS for various SNR and compression ratio values. The results of this study are important for determining the achievable performance of BCS based spectrum sensing.en_US]
dc.identifier.citation6
dc.identifier.doi10.1109/ICUWB.2014.6958956en_US
dc.identifier.endpage90
dc.identifier.isbn978-1-4799-5396-7
dc.identifier.issn2167-9967en_US
dc.identifier.issn2167-9967
dc.identifier.scopus2-s2.0-84912125441en_US
dc.identifier.scopusqualityN/A
dc.identifier.startpage86en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12469/761
dc.identifier.urihttps://doi.org/10.1109/ICUWB.2014.6958956
dc.identifier.wosWOS:000411477000016en_US
dc.identifier.wosqualityN/A
dc.institutionauthorErküçük, Serhaten_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.journalIEEE International Conference on Ultra-WideBand (ICUWB)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCognitive radiosen_US
dc.subjectUltra wideband (UWB) systemsen_US
dc.subjectEnergy efficiencyen_US
dc.subjectBayesian compressive sensingen_US
dc.subjectSpectrum sensingen_US
dc.subjectProbability of detectionen_US
dc.titleAchievable Performance of Bayesian Compressive Sensing Based Spectrum Sensingen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
relation.isAuthorOfPublication440e977b-46c6-40d4-b970-99b1e357c998
relation.isAuthorOfPublication.latestForDiscovery440e977b-46c6-40d4-b970-99b1e357c998

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