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星载GPS数据质量控制方法研究 Title:ResearchonQualityControlMethodsforOnboardGPSData Introduction: GPS(GlobalPositioningSystem)technologyhasbecomeanindispensabletoolinvariousfieldssuchasnavigation,surveying,geospatialapplications,andtransportation.Withtheadventofsatellite-basedGPSreceivers,applicationsofGPSdatahaveexpandedsignificantly.However,ensuringthequalityofGPSdatacollectedonboardsatellitesiscrucialforaccuratepositioningandnavigation.ThispaperaimstoexplorevariousmethodsforqualitycontrolofonboardGPSdatatoimprovethereliabilityandaccuracyoftheinformationderivedfromthesedata. 1.Pre-processingTechniques: a.Signal-to-NoiseRatio(SNR)Analysis:EvaluatingtheSNRofGPSsignalsreceivedbythesatellitereceivercandeterminethequalityofsatellitesignals.HighSNRvaluesindicatestrongandreliablesignalreception,whilelowSNRvaluesmayindicatesignaldisturbancesorobstructions. b.EphemerisDataValidation:TheaccuracyofephemerisdatatransmittedbyGPSsatellitesaffectsthepositioningaccuracy.Validatingephemerisdataensuresthatthesatellites'orbitalparametersarecorrect,therebyimprovingthequalityofGPSdata. 2.OutlierDetectionandRemoval: OutliersinGPSmeasurementscansignificantlyimpactaccuracy.Severalmethodscanbeemployedforoutlierdetectionandremoval: a.StatisticalMethods:Employingstatisticalmeasuressuchasmean,median,standarddeviation,andz-scorescanhelpidentifyoutliersinGPSdata.Datapointsthatdeviatesignificantlyfromthemeanormediancanbeconsideredoutliersandremovedorcorrected. b.SequentialTesting:UsingsequentialtestssuchasSequentialProbabilityRatioTest(SPRT)orCUSUM(CumulativeSum)candetectinstancesofsuddenchangesorshiftsinGPSdata,distinguishingthemfromlegitimatemeasurements. c.TemporalConsistencyCheck:ComparingGPSobservationswithaprioriknowledgeoftheexpectednavigationtrajectorycandetectoutlierscausedbysuddenjumpsorinvalidmeasurements. 3.DataFusion: IntegratingGPSdatawithdatafromothersourcescanenhancetheoverallqualityandreliabilityofthepositioningsystem: a.Multi-SensorFusion:CombiningGPSdatawithothersensorslikeinertialsensors