Improved GM (1,1) Model by Optimizing Initial Condition to Predict Satellite Clock Bias

The variation law of satellite clock bias (SCB) can be regarded as a grey system because the spaceborne atomic is very sensitive and vulnerable to many factors. GM (1,1) model core foundation system, which has been highly valued successfully applied in SCB prediction since its production. However, there are still some problems further studied such lack stability effect practical application. In view this, an improved by optimizing initial condition proposed this paper so increase performance. new obtained weighted combination latest oldest components original sequence. And weight values these two acquired from method minimizing sum squares fitting errors. We adopt GPS rapid precision data provided International GNSS Service (IGS) for 15 mins, 30 1 h, 3 6 12 24 h experiments. results show that effective feasible, accuracy significantly better than those traditional model, ARIMA QP even signal with obvious fluctuation.