文档名：Gibbs Samplingbased Sparse Estimation Method over Underwater Acoustic Channels
Abstract：Theestimationofsparseunderwateracoustic(UWA)channelscanberegardedasaninferenceprobleminvolvinghiddenvariableswithintheBayesianframework.WhiletheclassicalsparseBayesianlearning(SBL),derivedthroughtheexpectationmaximization(EM)algorithm,hasbeenwidelyemployedforUWAchannelestimation,itstilldiffersfromtherealposteriorexpectationofchannels.Inthispaper,weproposeanapproachthatcombinesvariationalinference(VI)andMarkovchainMonteCarlo(MCMC)methodstoprovideamoreaccurateposteriorestimation.Specifically,theSBLisfirstre-derivedwithVI,allowingustoreplacetheposteriordistributionofthehiddenvariableswithavariationaldistribution.Then,wedeterminethefullconditionalprobabilitydistributionforeachvariableinthevariationaldistributionandtheniterativelyperformrandomGibbssamplinginMCMCtoconvergetheMarkovchain.TheresultsofsimulationandexperimentindicatethatourestimationmethodachieveslowermeansquareerrorandbiterrorratecomparedtotheclassicSBLapproach.Additionally,itdemonstratesanacceptableconvergencespeed.
作者：WentaoTong WeiGe YizhenJia JiahengZhang Author：WentaoTong WeiGe YizhenJia JiahengZhang
作者单位：NationalKeyLaboratoryofUnderwaterAcousticTechnology,HarbinEngineeringUniversity,Harbin150001,China;KeyLaboratoryforPolarAcousticsandApplicationofMinistryofEducation,HarbinEngineeringUniversity,Harbin150001,China;CollegeofUnderwaterAcousticEngineering,HarbinEngineeringUniversity,Harbin150001,ChinaQingdaoInnovationandDevelopmentCenterofHarbinEngineeringUniversity,Qingdao,266400,China;StateKeyLaboratoryofAcoustics,InstituteofAcoustics,ChineseAcademyofSciences,Beijing100190,China
刊名：哈尔滨工程大学学报（英文版） ISTIC
Journal：JournalofMarineScienceandApplication
年，卷(期)：2024, 23(2)
分类号：
Keywords：Sparsebayesianlearning Channelestimation Variationalinference Gibbssampling
机标分类号：TB533.2U464.12TN82
在线出版日期：2024年5月27日
基金项目：GibbsSampling-basedSparseEstimationMethodoverUnderwaterAcousticChannels[
期刊论文] 哈尔滨工程大学学报（英文版）--2024, 23(2)WentaoTong WeiGe YizhenJia JiahengZhangTheestimationofsparseunderwateracoustic(UWA)channelscanberegardedasaninferenceprobleminvolvinghiddenvariableswithintheBayesianframework.WhiletheclassicalsparseBayesianlearning(S...参考文献和引证文献
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Gibbs Sampling-based Sparse Estimation Method over Underwater Acoustic Channels
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