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1、MIMOChannelsandSpace-TimeCodingLectures?Lecture1:ChannelCapacityInthislecturewereviewtheShannoncapacityofanadditivewhiteGaussiannoisechannel,thecapacitytheoremandspectralefficiencyandpowerefficienciespossible.?Lecture2:MIMOChannelCapacityWethenextendthecap
2、acitytoparallelchannelsandstudytheoptimalpowerdistribution,whichleadstothewaterfillingtheorem.Nextthemultiple-inputmultiple-ouput(MIMO)channelisconsideredandrelatedtotheparallelGaussianchannelviathesingularvaluedecomposition(SVD).Itscapacityandequalpower(s
3、ymmetric)capacityarediscussed.FinallythecapacityfromulaisextendedtofadingMIMOchannels.?Lecture3:Real-WorldMIMOchannelsWestudydifferenttypesofMIMOchannels,theirrankandcapacitygain.ExamplesarestudiedbyemulatingthepropagationenvironmentofMIMOchannels.Itisargu
4、edanddemonstratedthatinthelowsignal-to-noiseratioregime,MIMOchannelsoffersnocapacityadvantageoversinglepoint-to-pointchannels.?Lecture4:LinearMultiantennaProcessingWediscusslinearprocessingformultiple-antennachannelsandbeam-forming.Themultiplesignalclassif
5、ication(MUSIC)algorithmisintroducedasthepredominantsub-spacemethodforparameteridentification.Projectionbeam-formersandminimum-meansquareerror(MMSE)beam-formersarethendiscussedaswellastheminimum-variancedistortionlessbeam-former.?Lecture5:Space-TimeCodingPr
6、inciplesWepresentspace-timecoding(STC)principlesandpresentbasicerrorprobabilityformulas.Wethenderiveanddiscusscodedesigncriteria:therankcriterionandtheminimumproductdistancewhichareusedinthedesignofSTCs.Wepresentperformanceresultsofspace-timecodes,theiropt
7、imaldetection--trelliscodes,aswellasthecomplexityofcodes.?Lecture6:Space-TimeModulationWediscussbasictransmissiondiversityandpresentedtheAlamouticode.Thisleadstothedefinitionoforthogonaldesigns.Wethenstudynon-coherentanddifferentialdetectionofSTCs.Thislead
8、stothedefinitionofunitarySTCsbasedonunitarymatrixdesigns.Wepresentresultsontheexistanceofunitaryspace-timecodesaswellastheirperformanceonfadingMIMOchannels.?Lecture6:CodedSpace-TimeModulationandIterativeDecod
