关键词: 最小二乘支持向量机, 超快速星历, 预报模型, GPS卫星钟

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