基于人工鱼群优化的小波盲均衡算法

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1、AbstractInunderwateracousticcommunication,Inter-SymbolInterferencecausedbymultipathfadingtime-varyingunderwateracousticchannelsseriouslyaffectscommunicationqualityandthelimitedbandwidthofunderwateracousticchannelsaffectsthedataofthetransmissionspeedandthereliability．InordereffectivelyovercomeISIandi

2、mprovethebandwidthutilizations，onthebasisofanalyzingblindequalizationalgorithmsresearchsituationathomeandabroad，anewtrainofthoughtisproposed．Inthisproposedthought,inordertoresearchtheblindequalizationtheory，algorithms，simulations，andperformanceassessment,wavelettheoryisregardedasanimportanttool，arti

3、ficialfishswarmalgorithm，arecalledastheoptimizationmethod，andfirIactionallyspaced，superexponentialiteration,andblindequalizationalgorithmarecombined．nemainworkisasfollows：1．Orthogonalwavelettransformblindequalizationalgorithmbasedontheoptimizationofartificialfishswarmalgorithmisproposed(1)Blindequal

4、izationalgorithmbasedontheoptimizationofartificialfishschoolalgorithmisproposedIntraditionalConstantModulusblindequalizationAlgorithm(CMA)，themetholdofsearchingoptimalweightvectorisagradientdescentsearchmethod，whichCanobtaintheequationoftheequalizerweightvectorviausingthecontinuousandderivablecostfu

5、nction,butthemetholdiseasytofallintolocalconvergence．AimingatthedisadvantageofthesearchingmetholdoftraditionalCMA，onthebasisofanalyzingthefeatureofartificialfishswarmalgorithm(AFSA)，itisintroducedtotheCMA，SOtheartificialfishswarmalgorithmbasedCMA(AFSACMA)isproposed．Inthisproposedalgorithm，thefitness

6、functionofAFSAisdefinedbycostfunctionofblindequalizationalgorithm．ItmakesfulluseoftheglobalrandomsearchingfeatureoftheAFSAtofindtheglobaloptimalweightvectoroftheequalizer．SimulationresultswithunderwateracousticchannelshowthesuperiorityoftheAFSACMA．(2)Orthogonalwavelettransformblindequalizationalgori

7、thmbasedontheoptimizationofartificialfishswarmalgorithmOnthebasisofmakingfulluseofthestrongde-correlationoftheorthogonalwavelettransform，thestructureofblindequalizerisdesignedbytheequalizerinputstrans