常模量算法（CMA）及在通信信道均衡中的應用.pdf_第1頁
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1、東南大學碩士學位論文常模量算法（CMA）及在通信信道均衡中的應用姓名：丁志高申請學位級別：碩士專業(yè)：信號與信息處理指導教師：楊綠溪20040601AbstractTheactualchannelsalwaysarenonidealandbandlimitedWemustconsiderthechannelsproperIiesaffectingtiledigitalsignalstransmittedthroughchannelslik

2、ethoseForexample，multipathtransmittinginteleeomfieldmayconducetotimedelayexpansiontransnfissionThussonicsignalsamplesmaybeoverlappedbyothersamples’timedelayexpansioninreceivertMldalsothebandlimitedfactorortimevariablefac

3、tormaybringonahnostthesameeffectThisinterferenceiscalledintersymbolinterfereuce(ISI)UndersomechannelconditionsISlwillbadlyaffectthestabilityofcommunicationsystemandeven∞usethesystemunabletoworkSoISImustbeaRachedimportanc

4、etoreduceandetimilateManyalgorithmsforreducingorelimafingISIhavebeenintroducedandappliedinseveralfieldsSomekindsofequalizersaresettothereceiversofconmaunieationsystems，andtheequalizedsignalsareputoutwhichhavelowinterfere

5、nceAkindofalgorithmsarecalledlinearequalizationalgorithmsUsingtheknownsequencethealgorithmcalculatestheCOCfficientsoftheequalizerwhichcanreducethelllterferenccmostlyButwhenthechennelconditionsvary“constantlysuchasthewire

6、lesschannel，theequalizationwouldnotworkwellAnotherkindsofalgorithmshavebeenbroughtoncalledadaptiveequalizationItUSeSsomekindofknownsequencesintransmitterfromtimetotime，andinthereceivertheoutputsiglmlswouldcomparetothekno

7、wnsequencesyieldingtheerrorsignal，andthenadjustthecoefficientsoftheequalizerusingtheerrorsequenceThis‘training’isrealtimeanddynamicOntheotherband，howeverthetrainingsequencelsredandantinformationwhichwouldoverloadthesyrst

8、emandreducethesystemefficiencyespeciallyinmobilecommunicationfieldthevoicesessionsrequestnoorlowtimedelaysoakindofalgorithmswhichhavenotrainmgsequencerequesthavebeenintroducewldelyreplacingtherolesofformerequalizationalg

9、orithmsTheequalizationalgorithmswithouttraiamgsequenceafocalledadzlptireblindequalizationwhichusuallyusingthestatisticpropertiesofthesourcesignalsConstantModulusAlgorithm(CMAlbelongstothiskindwhichformsthe‘errorsequence’

10、usingsocalledConstantModuluspropertytotrainthecceflicientsoftheequalizerInthispapeLtheclassificationandevolutionofequalizersareintroducedfirstForthepurposeofsnccessionandsystematizemostoftilealgorithmsintroducedareenmlat

11、cdtesultsInchaptar2thelinearequalizationalgorithmsareemphasizedInchapter3basedonchapter2theadaptivelinearequalizationandedaptireDFEequalizationa礙intrducedandemulatedAndinchapter4theadaptiveblindequalizationsareintroduced

12、，andespeciallytheColtstantModulusAlgorithm(CMA)isdiscussedemphaticallyatthesametimethispaparalsogivesthemodificationalgorithmsoftheCMA，andgetsomesatisfyingresultsKeywords：ConstantModulusAlgorithm(CMA)，Inter—symbolInterfe

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