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1、上海交通大学硕士学位论文线性调频信号参数快速估计方法的研究姓名：华旭东申请学位级别：硕士专业：信号与信息处理指导教师：宫新保;唐斌20070101上海交通大学硕士学位论文摘要分分成粗估计和精估计两个步骤，使该方法在精度不下降的前提下计算量大大减少。文中通过大量仿真试验，给出了该方法在不同信噪比下的性能分析，对计算量进行了分析。通过这些分析说明，使用分级搜索的方法，大大减少了计算量，为参数的实时估计提供了一种很有潜力的方法。关键词：非平稳信号，线性调频信号，参数估计，时频分析，Radon-Ambiguity变换，分数
2、阶傅立叶变换第II页上海交通大学硕士学位论文ABSTRACTResearchofFastParameterEstimationAlgorithmofLFMSignalABSTRACTLinearFrequencyModulatedSignalisakindofsignalwidelyusedinmultitudinoussignalprocessingareas,suchasradar,audio,sonarandsoon.ThereforeparameterestimationofLFMsignalsisdeep
3、lyresearchedworldwide.Asthenon-stationaryfeatureofLFMsignals,parametersarehardertodetectthanstablesignals.Methodsusednowarebasedontwo-dimensionsearchintime-frequencyplanewhicharealwayscomplex.It’surgenttofindsimpleandeffectivealgorithmwithlowcomputationalcompl
4、exity.ThispaperismainlyconcernedwithlookingforfastestimationmethodsofLFMsignals.Firstofall,LFMsignalmodelisintroduced,andthenshort-timeFouriertransformisstudied.AnewkindofLFMsignalestimationmethodbasedonSTFT,Maximumlikelihoodestimationisproposed.Theperformance
5、ofthismethodisanalyzedaccordingtoMATLABsimulationresultandit’sapprovedtobeanfastmethodtowidebandsignals.WhennarrowbandLFMsignalisconcerned,wediscussthemethodofWigner-Villedistributionandambiguityfunction.BecauseofthelinearityofLFMsignalintime-frequencyplaneand
6、thefeatureofdetectingstraightlineofRadontransform,Radon-WignertransformandRadon-AmbiguitytransformcandetectLFMsignalinlowSNR.Theperformanceandcomputationalcomplexityarestudied.Thenanewparameterestimationalgorithmbasedonmulti-classsearch,Radon-Ambiguity,fractio
7、nalFouriertransformispresented.ComputationalcomplexityisreducedgreatlycomparedwithnormalRadon-Wignertransform.Alotofsimulationresultsaregivenwhichindicatethatitisagoodmethod.Atlast,theconclusionsaredrawn,andsomefurtherresearchaboutLFMsignaldetectionandparamete
8、restimationispointedout.第III页上海交通大学硕士学位论文ABSTRACTKeywords:non-stationarysignal,linearfrequencymodulatedSignal,parameterestimation,time-frequencyanalysis,Radon-Ambiguitytransform,fr
