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1、AdaptiveKalmanFilteringforDGPSPositioningCongweiHu,YongqiChen,andWuChenDepartmentofLandSurveyingandGeoinformatics,HongKongPolytechnicUniversitylswuchen@polyu.edu.hkDajieLiuDepartmentofSurveyingandGeoinformatics,TongjiUniversity,P.R.ChinaBIOGRAPHYdemonstratedthatth
2、enewalgorithmsaremuchrobusttothesuddenDrC.W.Huispost-doctorresearchassistantatLSGI,HongKongchangesofvehiclemotionandmeasurementerrors.PolytechnicUniversity.Heisspecializedinsatellitepositioningsystemsanddataprocessing.1.IntroductionDrWChenisassistantprofessoratLSG
3、I.HewasawardedBScfromTheKalmanfilteringisanoptimalestimationmethodthathasbeenChineseUniversityofScienceandTechnology,P.R.ChinaandPhDwidelyappliedinreal-timedynamicdataprocessing.KalmanfilteringfromUniversityofNewcastleUponTyne,UK.Hehasbeenworkinginvolvesinadynamic
4、systemwithtwodifferentmodels,namelyonsatellitepositioningformorethan15years.dynamicandobservationmodels.Thedynamicmodeldescribesthebehaviourofstatevector,whiletheobservationmodelestablishestheProfessorY.Q.ChenischairprofessorandheadofLSGIattheHKrelationshipbetween
5、measurementsandthestatevector.Bothmodelspolytechnicuniversity.HereceivedhisdegreeeducationfromtheareassociatedwithstatisticalpropertiestodescribetheaccuracyoftheWuhanTechnicalUniversityofSurveyingandMapping,Chinaandmodels.Formanyapplications,themodelstatisticnoise
6、levelsaregivenhisPhDfromtheUniversityofNewBrunswick,Canada.Hewasbeforethefilteringprocessandwillmaintainunchangedduringthechairmanofcommission6,FIG.Hepublishedover200technicalwholerecursiveprocess.Commonly,thisaprioristatisticalinformationpapersand6books.isdetermi
7、nedbytestanalysisandcertainknowledgeabouttheobservationtypebeforehand.IfsuchaprioriinformationisinadequatetoProfessorD.J.LiuisaprofessoratTongjiUniversity.Heisspecializedrepresenttherealstatisticnoiselevels,KalmanestimationwillnotbeonsurveyingdataprocessingandGIS.
8、optimalandmaycausetoanunreliableresults,sometimesevenleadtofilteringdivergence(MohamedandK.P.Schwarz1997).ForvehicleABSTRACTnavigation,suddenacceleratio
