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1、timecodedMIMO-OFDMsystemsJournalShanghaiUniversity(EnglishEdition),2007,11(5):469—473DigitalObjectIdentifier(DOI):10.1007/s11741—007-0506—2ExtendedKalmanfiltering—basedchannelestimationforspace-timecodedMIMO-OFDMsystemsLIANGYong—ming(梁永明),LUOHan—wen(罗汉文),HUANGJian—
2、guo(黄建国).1.DepartmentofElectronicEngineering.ShanghaiJiaotongUniversity,Shanghai200240,PR.China2.CollegeofMarineEngineering,NorthwesternPolytechnicalUniversity,Xi'atl710072,P.R.ChinaAbstractAspace—timecodedmultiple-inputmultiple-outputorthogonal~equency—divisionmul
3、tiplexing(MIMO—OFDM)systemisconsideredasasolutiontothefuturewidebandwirelesscommunicationsystem.ThispaperproposesanextendedKalmanfiltering-basedfEKF.based1channelestimationmethodforspace—timecodedMIMO—OFDMsystems.Theproposedmethodcanexploitpilotsymbolsandanextended
4、Kalmanfiltertoestimatechannelwithoutanypriorknowledgeofchannelstatistics.Incomparisonwiththeleastsquare(LS)andtheleastmeansquare(LMS)methods,theEKF—basedapproachhasabetterperformanceintheory.ComputersimulationsdemonstratetheproposedmethodoutperformstheLSandLMSmetho
5、ds.Thereforeit,canofferdramaticsystemperformanceimprovementatamodestcostofcomputationalcomplexity.Keywordsmultiple—inputmultiple—outputorthogonal~equency—divisionmultiplexing(MIMO—OFDM),channelestimation,extendedKalmanfiltering(EKF),leastmeansquare(LMS).1Introducti
6、onSincehighdatawirelessaccessisrequiredinmanyapplications.morebandwidthneedstobeallocatedtoachievehighdataratetransmissionintraditionalsys—terns.Bandwidthincreaseisoftenundesirableduetosystemcomplexityandspectrallimitations.Inthe-ory,multiple-inputmultiple—output(M
7、IMO)systems[jwithmultipletransmitandreceiveantennascanbeusedtoachievehigherspectralefficiencythansinglean—tennasystems.Space-timecodingtechnique[2,I3_isbf-tenappliedtoMIMOsystemstomitigatechannelfad.ingwithoutsacrificingbandwidth.thereforebecomesat—tractiveinbroadb
8、andwirelesscommunicationsystems.Orthogonalfrequency—divisionmultiplexing(OFDM)isaneffectivetechniqueformitigatingtheeffectsofdelayspreadinafreque
