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1、DiplomarbeitChannelEstimationforUMTSLongTermEvolutionAusgeführtzumZweckederErlangungdesakademischenGradeseinesDiplom-IngenieursunterLeitungvonUniv.Prof.Dipl.-Ing.Dr.techn.MarkusRuppDipl.-Ing.ChristianMehlführerDipl.-Ing.MartinWrulichE389InstitutfürNachrichtentechn
2、ikundHochfrequenztechnikeingereichtanderTechnischenUniversitätWienFakultätfürElektrotechnikundInformationstechnikvonMichalimkoMatrikelnr.:0425054Kulí²kova19,82108Bratislava,SlowakeiVienna,June2009...................Icertifythattheworkpresentedinthisdiplomathesiswa
3、sdonebymyselfandtheworkofotherauthorsisproperlycited.MichalimkoVienna,June2009iAbstractInthismasterthesis,IdiscusstheproblemofchannelestimationforLongTermEvolution(LTE).LTEusescoherentdetection,thatrequireschannelstateinformation.LTEprovidestrainingdataforchannele
4、stimation.Toassesstheperformanceofdierentchannelestimators,IutilizetheLTElinklevelsimulatordevelopedattheInstituteofCommunicationsandRadio-FrequencyEngineering(INTHFT),ViennaUniversityofTechnology.Thechannelestimatorsarecomparedintermsofthroughputofthecompletesys
5、temforslowlyandrapidlychangingchannels.TheLeastSquares(LS)channelestimatorwithlinearinterpolationisloosing2dB,andtheLinearMinimumMeanSquareError(LMMSE)channelestimator0.5dBwithre-specttothesystemwithperfectchannelknowledge.Inordertoreducethecomplexity,whilepreserv
6、ingtheperformanceoftheLMMSEchannelesti-mator,ApproximateLinearMinimumMeanSquareError(ALMMSE)chan-nelestimatorsarealsoinvestigated.Ipresentimplementationsofsuchanapproximatechannelestimatorforslowlychangingchannelsandforrapidlychangingchannels.TheALMMSEestimatorfor
7、blockfadingusesthecorrela-tionbetweentheLclosestsubcarriers.Inthefastfadingcase,theALMMSEestimatorutilizesthestructureofthechannelautocorrelationmatrix.Fur-thermore,thisthesisshowssomesimulations,fromwhichtheblockfadingassumptioncanbeproofedvalidforvelocitiesuptoa
8、pproximately20km=h.Athighervelocities,thesubcarriersarenotperfectlyorthogonaltoeachother.Thus,InterCarrierInterference(ICI)occurs.Athighervelocities,the
