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认知无线电中频谱感知技术的研究 Title:ResearchonSpectrumSensingTechniquesinCognitiveRadio Introduction: CognitiveRadio(CR)technologyhasemergedasasolutiontothescarcityofavailablefrequencyspectrumforwirelesscommunication.AvitalaspectofCRistheabilitytosenseandutilizeunusedorunderutilizedspectrumbands.Thispaperaimstodiscussandanalyzetheresearchonspectrumsensingtechniquesincognitiveradioforeffectiveandefficientutilizationofthefrequencyspectrum. 1.BackgroundofCognitiveRadio: -Definitionandconceptofcognitiveradio -Motivationforcognitiveradiodevelopment -Importanceofefficientspectrumutilization 2.SpectrumSensinginCognitiveRadio: -Definitionandconceptofspectrumsensing -Challengesinspectrumsensing -Requirementsforspectrumsensingincognitiveradio 3.SpectrumSensingTechniques: (A)EnergyDetection: -Principleandworkingofenergydetection -Advantagesandlimitationsofenergydetection -Applicationsandresearchadvancesinenergydetection (B)MatchedFilterDetection: -Principleandworkingofmatchedfilterdetection -Advantagesandlimitationsofmatchedfilterdetection -Applicationsandresearchadvancesinmatchedfilterdetection (C)CyclostationaryFeatureDetection: -Principleandworkingofcyclostationaryfeaturedetection -Advantagesandlimitationsofcyclostationaryfeaturedetection -Applicationsandresearchadvancesincyclostationaryfeaturedetection (D)Covariance-basedDetection: -Principleandworkingofcovariance-baseddetection -Advantagesandlimitationsofcovariance-baseddetection -Applicationsandresearchadvancesincovariance-baseddetection (E)MachineLearning-basedTechniques: -Principleandworkingofmachinelearning-basedspectrumsensing -Advantagesandlimitationsofmachinelearning-basedtechniques -Applicationsandresearchadvancesinmachinelearning-basedtechniques 4.SpectrumSensingPerformanceEvaluation: -Metricsforevaluatingspectrumsensingperformance -Factorsaffectingspectrumsensingperformance -Comparativeanalysisofspectrumsensingtechniquesbasedonperformancemetrics 5.SpectrumSensingforDynamicSpectrumAccess: -DynamicSpectrumAccess(DSA)concept -Sp