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1、ASARSMultibandSpectrumSensingMethodinWideband-ElKSIB,2011-ISSN2076-1465121919thEuropeanSignalProcessingConference(EUSIPCO2011)Barcelona,Spain,August29-September2,2011ASARSMU1.TIBANDSPECTRUMSENSINGMETHODINWIDEBANDCOMMUNICATIONSYSTEMSUSINGRSGBasharI.hmad,AndrzejTarczynskiandMustafaAl-AniSchoolofElectr
2、onicsandSoftwareEngineering,UniversityofWestminster115NewCavendishStreet,1.ondonWlW6UWemai1:bashar.ahmadny.Westminster,ac.uk;tarczyaestminster.ac.kABSTRACfThispaperintroducesamultibandspectrumsensingmethodthatcanaccomplishthesensingtaskusingsamplingratesconsiderablylowerthantheonesdemandedbytheunifo
3、rm-sampling-basedtechniques.Itutilisesnonuniformsamplinginconjunctionwithanappropriatespectralanalysistool.TheapproachisreferredtoasSpectralAnalysisofRandom-izedSampling(SRS),namelyfortheRandomSamplingonGrid(RSG)scheme.Thestatisticalcharacteristicsoftheadoptedperiodogram-typeestimatorarepresentedand
4、theeffectsoftheCyclostationarynatureoftheprocessedcommu-nicationsignalsonSARSareaddressed.Reliabilityguide-linesthatensurethecredibilityofthesensingprocedureamidasoughtsystemperformancearederived.Unlikeanumberofpreviouslyreportednonuniformsamplingschemese.g.TotalRandomSampling(TRS),theRSGprovidessaf
5、eguardsmakingitmoresuitableforimplementationinhardware.Numericalexamplestestifythepresentedanalyticalresults.1.INTRODUCTIONSpectrumsensinginvolvesscanningpart(三)oftheradiospec-truminsearchforameaningfulactivitye.g.atransmission.TheenvisionedCognitiveRadio(CR)technologyhasiniti-atcdintensiveresearchintoeffectivespectrumsensingtech-niques1,2.Toperformthesensingtaskusinguniform-sampling-basedDSPwithoutpriorknowledgeoftheincom-ingsignalsfrequencysupport,thesamplingratesshouldbeatleasttwicethetotalmonitoredfrequencyrange(三)regard-lessofthespectralacti.
