基于卡尔曼滤波器的gps近实时定位时钟估计毕业论文外文翻译

《基于卡尔曼滤波器的gps近实时定位时钟估计毕业论文外文翻译》由会员上传分享，免费在线阅读，更多相关内容在学术论文-天天文库。

1、中文5030字出处： GPSsolutions,2009,13(3):173-182外文原文Kalman-filter-basedGPSclockestimationfornearreal-timepositioningAndre´Hauschild.OliverMontenbruckAbstract：Inthisarticle,analgorithmforclockoffsetestimationoftheGPSsatellitesispresented.ThealgorithmisbasedonaKalman-filterandprocessesundifferencedcod

2、eandcarrier-phasemeasurementsofaglobaltrackingnetwork.Theclockoffsetanddriftofthesatelliteclocksareestimatedalongwithtrackingstationclockoffsets,troposphericzenithpathdelayandcarrier-phaseambiguities.Thearticleprovidesabriefoverviewofalreadyexistingnearreal-timeandreal-timeclockproducts.Thefil

3、teralgorithmanddataprocessingschemeispresented.Finally,theaccuracyoftheorbitandclockproductisassessedwithapreciseorbitdeterminationoftheMetOpsatelliteandcomparedtoresultsgainedwithotherreal-timeproducts.Keyword:ClockestimationPreciseorbitdeterminationReal-timeKalmanfilterIntroductionAgrowingnu

4、mberofnearreal-timeprecisepointpositioning(PPP)applicationsraisetheneedforpreciseGPSorbitandclockproductswithshortlatency.Oneoftheseapplicationsisthepreciseorbitdetermination(POD)ofremote-sensingsatellites,whichistobeperformedshortlyafteragroundstationpass.Theobservationsofthesatellite’sGPSrec

5、eiverareavailableimmediatelyafterthedownloadtothegroundstation.Forprocessingthesedata,theuserrequirespreciseorbitandclockdataforthecompleteGPSconstellation.TherubidiumandcesiumatomicstandardsoftheGPSsatellitesaresubjecttoclocknoiseandfrequencyvariations,whichcanoriginatefromavarietyofeffectsan

6、darehardtoforecast.Predictionsofclockoffsetanddrift,whichareprovidedforexampleinthepredictedpartoftheultra-rapidorbitsprovidedbyIGSorthebroadcastephemerides,willdeviatequicklyfromthetruevaluesbyseveraldecimetersorevenmeters.Thus,theseorbit/clock-productsbecomeunusableforPPPapplications,whereac

7、arrier-phasebasedpositioningaccuracydowntocentimeterlevelisdesired.Thesolutiontothisproblemistheuseofclockoffsets,whichhavebeenestimatedfromGPSmeasurementsoriginatingfromanetworkofsensorstations.Currently,onlyalimitedsetofprovidersforpr