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一种降低OFDM信号峰均比的自适应冗余序列方法 Title:AdaptiveRedundancySequenceMethodforReducingPeak-to-AveragePowerRatioofOFDMSignals Abstract: OrthogonalFrequencyDivisionMultiplexing(OFDM)hasgainedpopularityinmodernwirelesscommunicationsystemsduetoitshighdatarateandspectralefficiency.However,itiswellknownthatOFDMsignalssufferfromhighPeak-to-AveragePowerRatio(PAPR),whichposessignificantchallengesintransmissionsystems.ThispaperproposesanAdaptiveRedundancySequence(ARS)methodtomitigatethePAPRprobleminOFDMsignals.TheARSmethoddynamicallyadjuststheredundancyaddedtotheOFDMsignalbasedonitscharacteristics,therebyreducingthePAPRandachievingbettersignalquality. 1.Introduction: OFDMisapopularmodulationtechniqueusedinvariouswirelesscommunicationstandardssuchasWi-Fi,LTE,and5G.Itdividesthewidebandchannelintomultiplenarrowbandsubcarriers,whicharemodulatedwithdatasymbols.However,OFDMsignalsexperiencehighPAPR,whichleadstoincreasedpowerconsumptionandreducedefficiencyofpoweramplifiers.TheARSmethodaimstoaddressthisissuebyintelligentlyaddingredundancytotheOFDMsignalinordertoreducethePAPR. 2.OFDMSignalCharacteristics: ThissectiondiscussesthecharacteristicsofOFDMsignals,includingtheunderlyingmathematicsandthefactorscontributingtohighPAPR.TherelationshipbetweenthenumberofsubcarriersandthePAPRisanalyzed,highlightingtheneedforadaptivemethodstoreducePAPR. 3.RedundancySequenceDesign: IntheARSmethod,aspecificsequenceisaddedtotheOFDMsignal,whichincreasestheredundancy.ThedesignofthisredundancysequenceiscrucialtoachievingeffectivePAPRreduction.Severaltechniques,suchasHermitiansymmetryandIFFTprocessing,areexploredtogeneratetheredundancysequence. 4.AdaptiveRedundancyControl: ThecoreaspectoftheARSmethodliesinitsabilitytodynamicallyadjusttheredundancyaddedtotheOFDMsignal.Thissectionelaboratesonthealgorithmusedtodeterminetheoptimumredundancylevelbasedonthesignalstatistics,suchasthemomentofinertiaandhigherorderstatistics.Additionally,machinelearningandartificialintelligencetechniquescanbeincorporatedtofurtherenhancetheadaptiv

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