基于高频GNSS坐标序列的地表动态变形Kalman预报.docx

基于高频GNSS坐标序列的地表动态变形Kalman预报
Title:KalmanPredictionofSurfaceDynamicDeformationBasedonHigh-FrequencyGNSSCoordinateSequences
Abstract:
Surfacedeformationmonitoringplaysacriticalroleinvariousapplicationssuchasstructuralhealthmonitoring,landslideprediction,andgeologicalhazardanalysis.WiththeadvancementofGlobalNavigationSatelliteSystem(GNSS)technology,high-frequencyGNSScoordinatesequenceshavebecomeavaluablesourceofdataformonitoringsurfacedynamicdeformation.ThispaperpresentsaKalmanpredictionapproachtoforecastsurfacedynamicdeformationsusinghigh-frequencyGNSScoordinatesequences.TheproposedmethodcombinestheadvantagesofGNSStechnologywiththepowerfulKalmanfiltertoprovideaccurateandreliabledeformationpredictions.Theresultsdemonstratetheeffectivenessoftheapproachinforecastingsurfacedeformationsanditspotentialforpracticalapplications.
1.Introduction
1.1Background
1.2Researchobjective
1.3Organizationofthepaper
2.GNSSTechnologyandSurfaceDeformation
2.1IntroductiontoGNSS
2.2GNSSforsurfacedeformationmonitoring
2.3High-frequencyGNSScoordinatesequences
3.KalmanFilter
3.1OverviewoftheKalmanfilter
3.2Kalmanfilterinsurfacedeformationprediction
3.3PredictingsurfacedeformationusingaKalmanfilter
4.Methodology
4.1Datapreprocessing
4.2Kalmanfilterconfiguration
4.3Kalmanpredictionofsurfacedynamicdeformation
5.ExperimentandResults
5.1Experimentsetupanddatacollection
5.2Evaluationmetrics
5.3Predictionresultsandanalysis
6.Discussion
6.1Comparisonwithotherpredictionmethods
6.2Limitationsandchallenges
6.3Potentialapplications
7.Conclusion
7.1Summaryoftheresearch
7.2Keyfindings
7.3Futureresearchdirections
References
Thestructureofthepaperfollowsalogicalprogression,startingwiththeintroductionthatprovidesthebackgroundandresearchobjective.ItthenexplorestheGNSStechnologyanditsapplicationinsurfacedeformationmonitoring,highlightingthesignificanceofhigh-frequencyGNSScoordinatesequences.ThepaperthenintroducestheKalmanfilter,explainingitsuseinsurfacedeformationprediction.Themethodologysectionoutlinesthestepsinv