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噪声功率不确定下基于能量的频谱检测分析(英文) Title:Energy-BasedSpectrumDetectionAnalysisunderNoisePowerUncertainty Abstract: Inwirelesscommunicationsystems,spectrumsensingplaysacrucialroleindeterminingtheavailablefrequencybandsforopportunisticspectrumaccess.Toensurereliablespectrumsensing,itisessentialtoconsidertheimpactofnoisepoweruncertainty,whichcansignificantlyaffecttheperformanceofenergy-basedspectrumdetectiontechniques.Thispaperpresentsacomprehensiveanalysisofenergy-basedspectrumdetectionundernoisepoweruncertaintyandinvestigatesitsimpactondetectionperformance.Thestudyaimstoprovideinsightsintodesigningrobustspectrumsensingtechniquesthatareresilienttonoisepowervariations. 1.Introduction: Theincreasingdemandforwirelesscommunicationshasledtoascarcityofavailablefrequencybands.Consequently,thereisagrowinginterestinutilizingunderutilizedlicensedbandsusingcognitiveradiosystemsandopportunisticspectrumaccess.Spectrumsensingisakeycomponentofcognitiveradiosystemsthatallowssecondaryuserstodetectandexploitspectrumopportunitieswhileavoidinginterferencewithprimaryusers. 2.NoisePowerUncertainty: Inpracticalscenarios,noisepowercanvaryduetoenvironmentalfactors,fadingeffects,interference,andreceiverimperfections.Accurateknowledgeofnoisepowerisessentialforeffectivespectrumdetection.However,inpractice,noisepoweruncertaintyexistsduetochannelvariations,estimationerrors,andmodelmismatch.Thisuncertaintycandegradethedetectionperformancebyincreasingfalsealarmandmissdetectionprobabilities. 3.Energy-BasedSpectrumDetection: Energydetectors,alsoknownasnon-coherentdetectors,arepopularinspectrumsensingduetotheirsimplicityandlowcomputationalcomplexity.Energy-basedspectrumdetectionmeasurestheenergycontainedinthereceivedsignaloveracertainperiodandcomparesittoapre-definedthreshold.Iftheobservedenergyexceedsthethreshold,thepresenceofprimaryuserisdetected.However,theperformanceofenergy-baseddetectorscanbeaffectedbynoisepoweruncertainty. 4.ImpactofNoisePowerUncertaintyonDetectionPerformance: Thissectionpresentsadetaileda

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