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宽带Wilkinson功分器的粒子群优化设计.docx

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宽带Wilkinson功分器的粒子群优化设计 Title:ParticleSwarmOptimizationDesignofWilkinsonPowerDividerforBroadbandApplications Abstract: ThispaperpresentsthedesignofabroadbandWilkinsonpowerdividerusingparticleswarmoptimization(PSO)algorithm.TheWilkinsonpowerdividerisawidelyusedpassivecircuit,whichsplitsaninputsignalintotwoequalpowersignals.TheobjectiveofthisstudyistooptimizetheperformanceoftheWilkinsonpowerdividerintermsofbandwidth,insertionloss,returnloss,andisolation.SimulationresultsdemonstratetheeffectivenessofthePSOalgorithminachievingsuperiorperformancecomparedtoconventionaldesigns.Theproposeddesignoffersawiderbandwidthandimprovedpowerdivisionaccuracy,promisingpotentialapplicationsinvariousbroadbandcommunicationsystems. 1.Introduction: TheWilkinsonpowerdividerhasgainedsignificantattentionduetoitsexcellentperformanceinpowersplittingapplications.Itsutilizationspansacrossvariousfields,includingwirelesscommunicationsystems,radarsystems,andmicrowavecircuitdesigns.Theperformanceofthepowerdividerheavilydependsonthecharacteristicimpedanceandphysicaldimensionsofitscomponents.ThispaperaimstooptimizethedesignoftheWilkinsonpowerdividerusingthePSOalgorithmtoachieveimprovedperformanceintermsofbandwidth,insertionloss,returnloss,andisolation. 2.ParticleSwarmOptimization(PSO)Algorithm: PSOisapopulation-basedstochasticsearchalgorithmthatmimicsthesocialbehaviorofbirdflockingorfishschooling.Inthisoptimizationprocess,apopulationofcandidatesolutions,representedasparticles,isiterativelyupdatedtofindtheoptimalsolution.Eachparticle'spositionrepresentsapossiblesolutioninthesearchspace,anditsvelocitydeterminesthedirectionandmagnitudeofmovement.Bysharinginformationwithneighboringparticles,eachindividualparticleadjustsitspositiontowardsthebestsolutionfoundsofar.Thisiterativeprocesscontinuesuntiltheoptimalsolutionisfound. 3.DesignProcedure: ThedesignoftheWilkinsonpowerdividerconsistsofselectingappropriatecomponentvalues,suchasthecharacteristicimpedanceandphysicaldimensionsofthetransmissionlinesandresistors.T