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基于FRFT的多分量LFM信号检测与参数估计方法.docx

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基于FRFT的多分量LFM信号检测与参数估计方法 Title:DetectionandParameterEstimationofMulti-componentLFMSignalsBasedonFractionalFourierTransform(FRFT) Abstract: Thedetectionandparameterestimationofmulti-componentlinearfrequencymodulated(LFM)signalsareimportanttasksinmanyapplicationssuchasradar,sonar,andcommunications.ThispaperproposesanovelmethodbasedontheFractionalFourierTransform(FRFT)forthedetectionandparameterestimationofmulti-componentLFMsignals.TheFRFTprovidesaversatiletoolforanalyzingsignalswithvaryingfrequencycontentandhasbeenwidelyusedinsignalprocessingapplications.TheproposedmethodexploitsthepropertiesofFRFTtoaccuratelydetectandestimatetheparametersofLFMsignalswithinamulti-componentsignalmixture. 1.Introduction LFMsignalsarewidelyusedinmoderncommunicationsystemsduetotheirwidebandwidthandgoodresolutioncharacteristics.Inreal-worldscenarios,detectingandestimatingtheparametersofmulti-componentLFMsignalsischallengingduetointerferencecausedbynoiseandothersignals. 2.Background 2.1LinearFrequencyModulation(LFM)Signals 2.2FractionalFourierTransform(FRFT) 2.3ChallengesinDetectionandParameterEstimationofMulti-componentLFMSignals 3.ProposedDetectionandParameterEstimationMethod 3.1SignalModel 3.2FRFT-basedApproach 3.3DetectionAlgorithm 3.4ParameterEstimationAlgorithm 4.SimulationResults 4.1PerformanceEvaluationMetrics 4.2ComparativeAnalysiswithExistingMethods 4.3RobustnesstoNoiseandInterference 5.Discussion 5.1AdvantagesandLimitationsoftheProposedMethod 5.2PotentialApplications 5.3FutureResearchDirections 6.Conclusion Inthispaper,anoveldetectionandparameterestimationmethodbasedonFRFTformulti-componentLFMsignalswasproposed.ThemethodexploitstheuniquepropertiesofFRFTtoaccuratelydetectandestimatetheparametersofLFMsignalswithinamulti-componentsignalmixture.Thesimulationresultsdemonstratetheeffectivenessandrobustnessoftheproposedmethod.Theproposedmethodhaspotentialapplicationsinvariousareassuchasradar,sonar,andcommunications.Futureresearchdirectionsmayincludeimprovingthecomputationalefficiencyoft