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1、畢業(yè)設(shè)計(論文)外文資料翻譯系別電子信息系專業(yè)通信工程班級B090310姓名胡月明學(xué)號B09031005外文出處J.MarineSci.Appl.附件1.原文；2.譯文2013年03月BlindAdaptiveMMSEEqualizationofUnderwaterAcousticChannelsBasedontheLinearPredictionMethodAbstract:Theproblemofblindadaptiveequalizationofunderwatersingle-inputmultiple-output(SIMO)acou
2、sticchannelswasanalyzedbyusingthelinearpredictionmethod.Minimummeansquareerror(MMSE)blindequalizerswitharbitrarydelayweredescribedonabasisofchannelidentification.TwomethodsforcalculatinglinearMMSEequalizerswereproposed.OnewasbasedonfullchannelidentificationandrealizedusingRLS
3、adaptivealgorithms,andtheotherwasbasedonthezero-delayMMSEequalizerandrealizedusingLMSandRLSadaptivealgorithms,respectively.Performanceofthethreeproposedalgorithmsandcomparisonwithtwoexistingzero-forcing(ZF)equalizationalgorithmswereinvestigatedbysimulationsutilizingtwounderwa
4、teracousticchannels.Theresultsshowthattheproposedalgorithmsarerobustenoughtochannelordermismatch.TheyhavealmostthesameperformanceasthecorrespondingZFalgorithmsunderahighsignal-to-noise(SNR)ratioandbetterperformanceunderalowSNR.1IntroductionTime-varyingcharacteristicandmulti-p
5、athfadingofunderwateracousticchannelscaninducesevereintersymbolinterference(ISI)inhighdataratecommunicationsystems.ChannelequalizationapplyingadaptivefiltersisoneofthetechniquestomitigatetheeffectsofISI.Conventionally,theinitializationofanadaptivefilterisachievedbyaknowntrain
6、ingsequencefromatransmitterbeforedatatransmission,sothatvaluablechannelcapacityisreduced.Recently,blindequalizationtechnique(Stojanovic,1996)hasattractedmoreandmoreattention.Comparedwithadaptiveequalizationtechnique,themajoradvantageofsuchtechniqueisthatnotrainingsequenceisne
7、ededtostartuporrestartthesystemwheneverthecommunicationbreaksdownunpredictably.Traditionally,symbolratesampledchanneloutputsequenceisstationaryandhigherorderstatisticsareusedtoestimatethechannelandtocalculatetheequalizer.Morerecently,ithasbeenshownthatthechanneloutputsequence
8、iscyclostationaryifthesamplingrateexceedsthesymbolrate,andthensecond
