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dc.contributor.authorBaşaran, Mehmet
dc.contributor.authorErküçük, Serhat
dc.contributor.authorCirpan, Hakan Ali
dc.date.accessioned2019-06-27T08:03:15Z
dc.date.available2019-06-27T08:03:15Z
dc.date.issued2014
dc.identifier.isbn978-1-4799-5396-7
dc.identifier.issn2167-9967
dc.identifier.urihttps://hdl.handle.net/20.500.12469/761
dc.identifier.urihttps://doi.org/10.1109/ICUWB.2014.6958956
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.
dc.language.isoEnglish
dc.publisherIEEE
dc.subjectCognitive radios
dc.subjectUltra wideband (UWB) systems
dc.subjectEnergy efficiency
dc.subjectBayesian compressive sensing
dc.subjectSpectrum sensing
dc.subjectProbability of detection
dc.titleAchievable Performance of Bayesian Compressive Sensing Based Spectrum Sensing
dc.typeProceedings Paper
dc.identifier.startpage86
dc.identifier.endpage90
dc.relation.journalIEEE International Conference on Ultra-WideBand (ICUWB)
dc.identifier.wosWOS:000411477000016
dc.identifier.doi10.1109/ICUWB.2014.6958956
dc.contributor.khasauthorErküçük, Serhat


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