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一种基于无线信号辅助的室内无死角定位算法 Title:WirelessSignal-AssistedIndoorDead-ReckoningPositioningAlgorithm Abstract: Indoorpositioningsystemshavegainedsignificantattentionduetotheirvitalroleinawiderangeofapplications,includingassettracking,navigation,andlocation-basedservices.However,conventionalindoorpositioningtechniquesfacethechallengeofdeadzones,wherethequalityofwirelesssignalsseverelydeterioratesorbecomescompletelyunavailable.Thispaperpresentsanovelwirelesssignal-assistedindoordead-reckoningpositioningalgorithmthataimstoovercomedeadzonesandimprovetheaccuracyofindoorpositioningsystems. 1.Introduction 1.1Background WiththerapidadvancementofInternetofThings(IoT)technologies,thereisanincreasingdemandforindoorpositioningsystemsthatcanprovideaccuratelocationinformationinreal-time.However,traditionalindoorpositioningtechniquessuchasGlobalPositioningSystem(GPS)areineffectiveinindoorenvironmentsduetolimitedsatellitesignalavailabilityandmultipatheffects. 1.2ProblemStatement Oneofthecriticalchallengesinindoorpositioningistheexistenceofdeadzones,whichareareaswithintheindoorenvironmentwherewirelesssignalsareweakorcompletelyabsent.Deadzonesleadtoinaccuratepositioningresultsanddegradetheoverallperformanceofindoorpositioningsystems. 2.RelatedWork Thissectionpresentsareviewofexistingindoorpositioningalgorithms,includingdead-reckoning-basedmethods,fingerprinting,andwirelesssignalstrengthmappingtechniques.Italsohighlightstheirlimitationsandhowtheproposedalgorithmaddressesthem. 3.WirelessSignal-AssistedDead-ReckoningAlgorithm 3.1Dead-ReckoningTechnique Thedead-reckoningtechniqueestimatesthecurrentpositionbyintegratingthepreviouspositionandmotioninformation.Thispaperproposestoenhancethistechniquebyleveragingwirelesssignalsasadditionalinformationtomitigatetheeffectsofdeadzones. 3.2WirelessSignalMeasurement Toassistthedead-reckoningalgorithm,wirelesssignalssuchasWi-Fi,Bluetooth,orRFIDaremeasuredandrecordedbythepositioningdevice.Thereceivedsignalstrength(RSS)ortimeofflight(TOF)canbeutilizedasindicato