Abstract:As one of the key factors for realizing real time precise point positioning, the precision of clock errors prediction has direct effect on the capability of navigation system. Through considering that the clock errors are composed of trend item and random item, a integrated model is proposed, which combines improved Grey with ARMA model. Using the improved Grey model to establish trend item model at first, and then we extract the random item to build the ARMA model, add them to the predicted results at last. The simulation results verify the feasibility and validity of this integrated method through an example using the precise clock errors from IGS(International GPS Service).
Li Xiaoyu,Yang Yang,Hu Xiaofen et al. RESEARCH ON SHORT-TERM PREDICTION OF SATELLITE CLOCK ERRORS BASED ON IMPROVED GREY ARMA MODEL[J]. jgg, 2013, 33(1): 59-63.