›› 2014, Vol. 34 ›› Issue (4): 38-.doi: 10.3780/j.issn.1000.758X.2014.04.006

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RealtimePredictionAlgorithmforHighaccuracyGPSSatelliteClockOffset

 LEI  Yu, LI  Bian, ZHAO  Dan-Ning, HU  Yong-Hui   

  • Online:2014-08-25 Published:2014-08-25

Abstract: InordertogetrealtimeGPSclockproductsofhighaccuracy,anewpredictionalgorithmwasproposed,whichincorporatedapolynomialmodelwithafewcyclictermsandleastsquaressupportvectormachines(LSSVM)forclockoffset.Firstly,apolynomialmodeladdingafewcyclictermswasutilizedtofittheclockoffsetseriesaccordingtothephysicalcharacteristicsofsatelliteclockssoastoextractthetrendtermandperiodicterm.Then,thepolynomialfittingresidualsweremodeledbasedontheLSSVM.Finally,thetrendtermandperiodictermwereaddedtotheforecastedresidualresulttoproducethefinalpredictionvaluefortheclockoffset.TheIGSultrarapidobserved(IGUO)productswereemployedastheinitialvaluesofthepredictionstrategy.Thesimulationresultsdemonstratethattheproposedalgorithmcanbeusedtopredictclockoffsetwithhighaccuracyinrealtime,andoutperformstheIGSultrarapidpredicted(IGUP)solutionsatleastonadailybasis.

Key words: Leastsquaressupportvectormachines, Ultrarapidephemeris, Predictionmodel, GPSsatelliteclocks