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dc.contributor.authorWu, Jwo-Yuhen_US
dc.contributor.authorWang, Chih-Hsiangen_US
dc.contributor.authorWang, Tsang-Yien_US
dc.date.accessioned2014-12-08T15:30:33Z-
dc.date.available2014-12-08T15:30:33Z-
dc.date.issued2011-07-01en_US
dc.identifier.issn0090-6778en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TCOMM.2011.050211.100146en_US
dc.identifier.urihttp://hdl.handle.net/11536/21829-
dc.description.abstractSpectrum sensing in next-generation wireless cognitive systems, such as overlay femtocell networks, is typically subject to timing misalignment between the primary transmitter and the secondary receiver. In this paper, we investigate the performance of the energy detector (ED) when the arrival time of the primary signal is modeled as a uniform random variable over the observation interval. The exact formula for the detection probability is derived and corroborated via numerical simulation. To further improve the detection performance, we propose a robust ED based on the Bayesian principle. Computer simulation confirms the effectiveness of the Bayesian based solution when compared with the conventional ED.en_US
dc.language.isoen_USen_US
dc.subjectCognitive radioen_US
dc.subjectspectrum sensingen_US
dc.subjectenergy detectionen_US
dc.titlePerformance Analysis of Energy Detection Based Spectrum Sensing with Unknown Primary Signal Arrival Timeen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TCOMM.2011.050211.100146en_US
dc.identifier.journalIEEE TRANSACTIONS ON COMMUNICATIONSen_US
dc.citation.volume59en_US
dc.citation.issue7en_US
dc.citation.spage1779en_US
dc.citation.epage1784en_US
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000293659600005-
dc.citation.woscount7-
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