多径信道下基于压缩扩张的OFDM系统PAPR抑制算法-豆柴文库

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多径信道下基于压缩扩张的OFDM系统PAPR抑制算法
Abstract:
Withthedevelopmentofwirelesscommunicationtechnology,OrthogonalFrequencyDivisionMultiplexing(OFDM)hasbecomeapopulartechniqueusedinwirelesscommunicationsystems,duetoitshighspectralefficiencyandrobustnesstomultipathchannels.However,OFDMsystemssufferfromhighPeak-to-AveragePowerRatio(PAPR)whichcanleadtosystemdegradation.Inthispaper,weproposeaPAPRreductionalgorithmbasedonCompressedSensing(CS)forOFDMsystemsinmultipathchannelsusingtheCompressiveExpansionTransform(CET),anditisshownthatthisalgorithmiseffectiveinreducingthePAPRofOFDMsignals.
Introduction:
OFDMisamodulationtechniquewhichusesmultiplesubcarrierstotransmitdata.TheadvantagesofOFDMincludehighspectralefficiency,robustnesstofrequencyselectivefadingandtheabilitytoprovidehighdatarates.However,themajordrawbackofOFDMisitshighPAPR.HighPAPRcanleadtonon-linearitiesinthetransmissionchannel,whichcancauseinter-carrierinterference(ICI)andeveninter-symbolinterference(ISI)thatdegradethesystemperformance.
SeveralPAPRreductiontechniqueshavebeenproposedtoaddressthisissue,includingclippingandfiltering,selectedmapping,andtonereservation.However,thesetechniqueshavetheirowndisadvantages,suchascomplexity,bandwidthloss,andperformancedegradation.
CompressedSensingisanewsignalprocessingtheorywhichusesrandomprojectionstoeffectivelycompresshigh-dimensionalsignals,whilestillretainingimportantinformationofthesignal.Thebasicideaistoexploitthesparsityorcompressibilityofsignalsincertaindomains,suchasthetimeorfrequencydomain.CompressiveExpansionTransform(CET),proposedbyZhangetal.,isamethodwhichcombinesCSwithexpansiontransformtoreducePAPR.
TheproposedalgorithmbasedonCETiseffectiveinreducingPAPRofOFDMsignals,anditsperformanceisevaluatedbysimulationinthispaper.Therestofthispaperisorganizedasfollows:SectionIIprovidesanoverviewofCSandCET.SectionIIIintroducestheproposedPAPRreductionalgorithmbasedonCET.SimulationresultsandanalysisarepresentedinSectionIVandSectionVistheconclusion.
CompressedSensingandCompressiveExpansion