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MIMO(多输入多输出)系统的信道容量分析的综述报告.docx

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MIMO(多输入多输出)系统的信道容量分析的综述报告 MIMO(MultipleInputMultipleOutput)systemsrefertowirelesscommunicationtechnologiesthatemploymultipleantennasatboththetransmitterandreceiversidesofacommunicationsystem.Theuseofmultipleantennasincreasestheefficiencyofthecommunicationchannelandhasthepotentialtoincreasethecapacityofthewirelesscommunicationsystem.ThisreportprovidesanoverviewofthecapacityanalysisofMIMOsystems. Wirelesscommunicationsystemsaresubjecttoenvironmentalfactorswhichcausedegradationofthecommunicationsignal.Thecapacityofawirelesscommunicationsystemreferstothemaximumamountofdatathatthecommunicationsystemcantransferoveragivenchannelband.Thecapacityofawirelesscommunicationchannelisdependentonmanyfactors,includingthesignal-to-noiseratio,bandwidth,andchannelfading. Intraditionalwirelesscommunicationsystems,thecapacityofthecommunicationchannelislimitedbythebandwidthandavailablesignal-to-noiseratio.MIMOsystems,ontheotherhand,canprovidehighercapacitybyexploitingthespatialdimensionofthecommunicationchannel.InMIMOcommunicationsystems,multipleantennastransmitandreceivesignalsthatcaninteractwiththesamecommunicationchannel.Thismulti-antennasystemallowsforsimultaneoustransmissionofmultipledatastreams,increasingthechannelcapacity,andimprovingcommunicationquality. ThecapacityanalysisofMIMOsystemsisbasedontherankofthechannelmatrix.Therankofthechannelmatrixindicatesthenumberofindependentcommunicationpathsinthechannel.ThechannelcapacityofMIMOsystemsdependsonthenumberofantennasatboththetransmitterandthereceiverandtherankofthechannelmatrix.Asthenumberofantennasincreases,therankofthechannelmatrixincreases,andthecommunicationsystem'scapacityincreasesaswell. ThecapacityanalysisofaMIMOsystemcanbedoneusingdifferenttechniques,includingtheSingularValueDecomposition(SVD)andeigenvalueanalysis.SVDprovidesawaytodecomposeamatrixintoseveralpartsandcanbeusedtofindtheeigenvaluesofthechannelmatrix.Eigenvalueanalysisisatechniquethatusestheeigenvectorsofthechannelmatrixtoidentifythenumberofindependentcommunicati