降低峰均比的PTS优化方法的研究

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1、西南交通大学硕士学位论文降低峰均比的PTS优化方法的研究姓名：黄伟申请学位级别：硕士专业：通信与信息系统指导教师：余立建20090501西南交通大学硕士研究生学位论文第

2、I页AbstractOrthogonalFrequencyDivisionMultiplexing(OFDM)technologyisknownforitsconvenienceofimplementation，aswellasothercharacteristicssuchasthehi曲spectrumefficiency,theanti—multipathfadingcapabilityandi

3、tsuniqueeriectivesuppressionoftheinter-symbolinterference(ISI)andtheinter-carrierinterference(ICI)，whichhasbeensuccessfullyappliedinmanyhigh—speedwirelesscommunicationsystemsandbecomethenextgenerationmobilecommunicationsystemstandard．Nevertheless，ahigherpeak—averagepowerratiofehPR)ofthe

4、equipmenttothesystembroughtaboutaheavyburdenofOFDM，whichgreatlylimitsthewidespreadapplicationofOFDMtechnology．Naturally,howtoreducePAPRbecomesaproblemintherealmofwirelesscommunication．Inthisthesis，startingwiththebasicprinciplesofOFDMtechnology,theauthoroffersadetailedanalysisofthecauseo

5、fhi曲PAPR,aswellasseveralkeytechnologiestosolvethisproblem．BasedOllthisfocus，theauthorselectsthePartialTransmitSequences(PTS)algorithm．PTSisanon．distortiontechnologyaimingatreducingthevalueofPAPRandsimultaneouslynotcausingthesignaldistortion．However,themainstumblingpointofPTSalgorithmisi

6、tshighercomputationalcomplexity．Inthisthesis，referencingtovariousexistingPTScomparativeanalysisofsimulationalgorithms，theauthormakesseveralsuggestionstoreducethecomputationalcomplexityasmuchaspossiblebymeansofthesimulationanalysiswhichensuressystemperformance；throughstudyinginthefieldof

7、neuralnetworks，Immunegeneticalgorithmprocessestheadvantageofdealingwithlarge—scaleandcomplexsearchproblems．TheauthorappliestheimmunegeneticalgorithmtotheresearchofPTSalgorithmwhichsolvestheoptimalweightingfactorofthesearchISSUe，andmakessomeadvicestoreducethespecificapplicationsofPAPR．Me

8、anwhile，theeffectivenessofthealgorithmhasbeenconfirmedthroughsimulationanalysis．Keywords：OrthogonalFrequencyDivisionMukiplexing；Peak．．to．．averagePowerRatio；PartialTransmitSequences；GeneticAlgorithm；ImmuneGeneticAlgorithm西南交通大学四南父遗大罕学位论文版权使用授权书本学位论文作者完全了解学校有关保留、使用学位论文的规定，同意学校保留并