基于神经网络的熊猫保偏少模光纤设计及布里渊特性研究

基于神经网络的熊猫保偏少模光纤设计及布里渊特性研究摘要：

本论文研究了基于神经网络的熊猫保偏少模光纤的设计和布里渊散射特性。首先，利用神经网络模型从实验数据中学习得到熊猫保偏光纤的高斯折射率分布，并设计出一种结构简单且性能优异的熊猫保偏光纤。进一步，利用有限元法模拟了熊猫保偏光纤的传输特性，得出了其基本特性，包括色散、非线性和光损耗等。最后，通过布里渊散射实验，研究了熊猫保偏光纤的布里渊特性，包括布里渊谱线宽、布里渊增益等，为其在激光通信、光纤传感等领域的应用提供了技术支持。

关键词：神经网络；熊猫保偏光纤；布里渊散射；有限元法；色散；非线性；光损耗。

Abstract:

ThispaperstudiesthedesignandBrillouinscatteringcharacteristicsofthepandapolarization-maintainingmodefiberbasedonneuralnetwork.Firstly,usingtheneuralnetworkmodeltolearnfromtheexperimentaldata,theGaussianrefractiveindexdistributionofthepandapolarizationmaintainingfiberisobtained,andastructureisdesignedwhichissimpleandhasexcellentperformance.Furthermore,thefiniteelementmethodisusedtosimulatethetransmissionpropertiesofthepandapolarizationmaintainingfiber,includingdispersion,nonlinearityandopticalloss.Finally,throughBrillouinscatteringexperiments,theBrillouincharacteristicsofthepandapolarization-maintainingfiber,includingthelinewidthandgainoftheBrillouinspectrum,werestudied,providingtechnicalsupportforitsapplicationinlasercommunication,fibersensingandotherfields.

Keywords:neuralnetwork;pandapolarization-maintainingfiber;Brillouinscattering;finiteelementmethod;dispersion;nonlinearity;opticallossPandapolarization-maintainingfiberiswidelyusedinopticalcommunicationandsensingsystemsduetoitsexcellentpolarization-maintainingperformance.However,thedesignandoptimizationofsuchfibersarestillchallengingduetothecomplexityoftheirstructureandthevariousfactorsaffectingtheirperformance.

Toaddressthisissue,aneuralnetworkmodelwasdevelopedtopredictthepolarization-maintainingperformanceofpandafibersbasedontheirstructuralparameters.Themodelwastrainedusingadatasetofsimulatedfiberstructuresandtheircorrespondingpolarization-maintainingproperties,andwasfoundtoaccuratelypredictthepolarization-maintainingperformanceofthefibers.

Inaddition,thedispersion,nonlinearityandopticallossofpandapolarization-maintainingfiberswereinvestigatedusingfiniteelementmethodsimulations.Theresultsshowedthatthedispersionandnonlinearityofthefibersarehighlydependentontheirstructuralparameters,andthattheopticallossismainlycausedbytheabsorptionandscatteringoflightbyimpuritiesinthefiber.

Furthermore,BrillouinscatteringexperimentswereconductedtostudytheBrillouincharacteristicsofthepandapolarization-maintainingfibers.ThelinewidthandgainoftheBrillouinspectrumwerefoundtobeinfluencedbythefiber’sstructuralparametersaswellastheopticalpowerandtemperatureoftheinputsignal.

Inconclusion,thedevelopmentoftheneuralnetworkmodelandthecharacterizationofthepandapolarization-maintainingfibersthroughfiniteelementmethodsimulationsandBrillouinscatteringexperimentsprovidevaluableinsightsintothedesignandoptimizationofsuchfibersforvariousapplicationsinlasercommunication,fibersensing,andotherfieldsPolarization-maintainingfibers,suchasthepandafiber,findwidespreadapplicationsinopticalcommunicationandsensingsystems.Thepolarization-maintainingfeatureofthesefibersarisesfromthepresenceofbirefringence,whichenablesthemtomaintainthepolarizationoftheinputsignal.Thedesignandoptimizationofpandafibersrequireadetailedunderstandingofthefiber’sstructuralparameters,suchasthefiberdiameterandthestress-inducedbirefringence.Inaddition,theopticalpowerandtemperatureoftheinputsignalalsoplayacrucialroleindeterminingtheperformanceofsuchfibers.

Theneuralnetworkmodeldevelopedinthisstudyprovidesapowerfultoolforpredictingtheperformanceofpandafibersundervariousinputconditions.Themodelcanbetrainedusingadatasetgeneratedfromfiniteelementmethodsimulationsorexperimentalmeasurements,andcanbeusedtomakepredictionsforfiberswithdifferentgeometriesandmaterialproperties.Theneuralnetworkmodelcansignificantlyreducethedesigntimeandcostforsuchfibersandfacilitatetheoptimizationofthefiberparametersforspecificapplications.

ThefiniteelementmethodsimulationsandBrillouinscatteringexperimentsperformedinthisstudyprovideadetailedcharacterizationofthepandafibers’structuralparametersandtheirimpactonthefiber’sperformance.Thesimulationsrevealthedistributionofthestress-inducedbirefringenceinthefiber,whichdependsonthefiber’sdiameterandthemagnitudeanddirectionoftheappliedstress.TheBrillouinscatteringexperimentsprovideinformationontheacousticpropertiesofthefiber,whichisameasureofitsmechanicalstrengthandresistancetodeformation.

Thesefindingshaveimportantimplicationsforthedesignandoptimizationofpolarization-maintainingfibersforvariousapplications.Forinstance,theknowledgeofthedistributionofthestress-inducedbirefringencecanbeusedtooptimizethefiber’sperformanceforhigh-speedcommunicationapplicationsorforsensingapplicationsthatrequirehighsensitivitytoexternalstimuli.Theacousticpropertiesofthefibercanalsobeusedtooptimizeitsresistancetomechanicaldeformationorenvironmentaldisturbances.Thecombinationoftheseinsightswiththeneuralnetworkmodeldevelopedinthisstudycanbeusedtodesignandoptimizepandafibersforspecificapplicationsinthefuture.

Overall,thestudyrepresentsasignificantadvancementintheunderstandingofpolarization-maintainingfibersandtheiroptimization.Thecombinationofexperimentalmeasurements,numericalsimulations,andartificialintelligencetechniquesoffersapowerfulapproachforthedesignandoptimizationofopticalfibersforvariousapplicationsincommunication,sensing,andotherfields.Thefindingsofthisstudyareexpectedtocontributetothedevelopmentofnewandimprovedopticalfibertechnologiesthatcanmeetthegrowingdemandforhigh-speedandhigh-performancecommunicationandsensingsystemsInadditiontothedevelopmentofopticalfibersforcommunicationandsensingapplications,therearealsootheremergingfieldsthatcanbenefitfromtheoptimizationofopticalfibers.Onesuchfieldisbiomedicalengineering,whereopticalfibersareincreasinglybeingusedfordiagnosticandtherapeuticpurposes.

Forexample,opticalcoherencetomography(OCT)isanon-invasiveimagingtechniquethatuseslightwavestocapturehigh-resolutioncross-sectionalimagesofbiologicaltissues.OCThasnumerousclinicalapplications,includingophthalmology,cardiology,dermatology,andgastroenterology.However,thespatialresolutionofOCTimagesislimitedbythenumericalapertureoftheopticalfiberprobeusedtodeliverlighttothetissue.Therefore,thedesignandoptimizationofopticalfibersforOCTcannotonlyimprovetheimagequalitybutalsoenablenewapplicationsthatmayrequiredifferenttypesoffibers,suchasmulticorefibers,wavelength-tunablefibers,andpolarization-maintainingfibers.

Anotherfieldthatcanbenefitfromtheoptimizationofopticalfibersisenvironmentalsensing.Opticalfiberscanbeusedtomeasurevariousphysicalandchemicalparametersinharshenvironmentssuchashightemperature,highpressure,andchemicalexposure.Forexample,fiberBragggratings(FBGs)areatypeofopticalsensorthatcanmeasurestrain,temperature,pressure,andotherparametersbyreflectingaspecificwavelengthoflightbacktothefiber.FBGshavemanypracticalapplications,suchasstructuralhealthmonitoring,oilandgasexploration,andaerospaceengineering.However,thesensitivityandaccuracyofFBGsdependonvariousfactors,suchasthefibertype,thegratingstructure,andtheinterrogationmethod.Therefore,theoptimizationofopticalfibersforFBGsensingcanleadtomorereliableandcost-effectivesensingsolutionsfordifferentindustriesandapplications.

Inconclusion,theoptimizationofopticalfibersisamultidisciplinaryresearchfieldthatinvolvesvariousaspectsofmaterialsscience,physics,chemistry,engineering,andcomputer