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一种基于位置指纹的室内WLAN定位方法.docx

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一种基于位置指纹的室内WLAN定位方法 Title:IndoorWLANLocalizationMethodbasedonLocationFingerprinting Abstract: Withtherapidgrowthofindoorwirelessnetworks,thereisanincreasingdemandforaccurateindoorlocalizationmethods.Inthispaper,weproposeanovelindoorWLANlocalizationmethodbasedonlocationfingerprinting.Theproposedmethodutilizestheuniquesignalcharacteristicsandpatternsofwirelessaccesspoints(APs)toestimatethelocationofamobiledevice.Experimentalresultsdemonstratethatourmethodachieveshighlocalizationaccuracyandrobustnessinvariousindoorenvironments. 1.Introduction 1.1Background Indoorlocalizationhasgainedsignificantattentionduetoitspotentialapplicationsinlocation-basedservices,assettracking,andindoornavigationsystems.Traditionalmethods,suchasGPS,areineffectiveindoorsduetothelimitedsignalcoverageandhighattenuationfromwallsandstructures.Thishaspromptedtheneedforalternativesolutions. 1.2Objectives TheobjectiveofthisresearchistodevelopanindoorWLANlocalizationmethodusinglocationfingerprintingtoaccuratelydeterminethepositionofamobiledevice.ThismethodutilizestheuniquecharacteristicsandpatternsofwirelesssignalsemittedbyAPswithinthevicinity. 2.Relatedwork 2.1WLANlocalizationtechniques ThissectionprovidesanoverviewofexistingWLANlocalizationtechniques,includingtrilateration,fingerprinting,andhybridmethods.Thestrengthsandlimitationsofeachtechniquearediscussed. 2.2Locationfingerprinting Locationfingerprinting,alsoknownasradiofrequency(RF)fingerprinting,isapopulartechniqueforindoorlocalization.ItinvolvescollectingandanalyzingsignalstrengthmeasurementsfromAPsatvariousknownlocationstocreateadatabaseoflocationfingerprints.Thedatabaseisthenusedtomatchthemeasuredsignalstrengthsfromunknownlocationsforlocalization. 3.ProposedMethod 3.1DataCollection Tobuildanaccuratelocationfingerprintdatabase,acomprehensivedatacollectionprocessisrequired.ThisinvolveswalkingthroughthetargetenvironmentwhilerecordingsignalstrengthmeasurementsfrommultipleAPsatknownlocations.Thedatacollectionphaseshouldcoverdifferenttimes,days,andc