外文翻译--基于线性预测方法的水声信道最小均方误差盲均衡(节选).docx

中文3775字毕业设计(论文)外文资料翻译系别电子信息系专业通信工程班级姓名学号外文出处J.MarineSci.Appl.(2011)10:113-120附件1.原文；2.译文2013年03月BlindAdaptiveMMSEEqualizationofUnderwaterAcousticChannelsBasedontheLinearPredictionMethodHYPERLINK"http://scholar.google.com.libproxy.temple.edu/citations?user=ZWkExpQAAAAJ&hl=zh-CN&oi=sra"RBragos,RBlanco-EnrichAbstract:Theproblemofblindadaptiveequalizationofunderwatersingle-inputmultiple-output(SIMO)acousticchannelswasanalyzedbyusingthelinearpredictionmethod.Minimummeansquareerror(MMSE)blindequalizerswitharbitrarydelayweredescribedonabasisofchannelidentification.TwomethodsforcalculatinglinearMMSEequalizerswereproposed.OnewasbasedonfullchannelidentificationandrealizedusingRLSadaptivealgorithms,andtheotherwasbasedonthezero-delayMMSEequalizerandrealizedusingLMSandRLSadaptivealgorithms,respectively.Performanceofthethreeproposedalgorithmsandcomparisonwithtwoexistingzero-forcing(ZF)equalizationalgorithmswereinvestigatedbysimulationsutilizingtwounderwateracousticchannels.Theresultsshowthattheproposedalgorithmsarerobustenoughtochannelordermismatch.TheyhavealmostthesameperformanceasthecorrespondingZFalgorithmsunderahighsignal-to-noise(SNR)ratioandbetterperformanceunderalowSNR.1IntroductionTime-varyingcharacteristicandmulti-pathfadingofunderwateracousticchannelscaninducesevereintersymbolinterference(ISI)inhighdataratecommunicationsystems.ChannelequalizationapplyingadaptivefiltersisoneofthetechniquestomitigatetheeffectsofISI.Conventionally,theinitializationofanadaptivefilterisachievedbyaknowntrainingsequencefromatransmitterbeforedatatransmission,sothatvaluablechannelcapacityisreduced.Recently,blindequalizationtechnique(Stojanovic,1996)hasattractedmoreandmoreattention.Comparedwithadaptiveequalizationtechnique,themajoradvantageofsuchtechniqueisthatnotrainingsequenceisneededtostartuporrestartthesystemwheneverthecommunicationbreaksdownunpredictably.Traditionally,symbolratesampledchanneloutputsequenceisstationaryandhigherorderstatisticsareusedtoestimatethechan