Abstract
Time basis of satellite navigation system is achieved by the satellite clock bias (SCB) prediction, while the SCB prediction accuracy will also affect the positioning accuracy of real-time navigation users. With the development of our Beidou satellite navigation system, the accuracy requirements of the SCB prediction is higher and higher, general quadratic polynomial extrapolation method have failed to meet the SCB forecast accuracy for each satellite. There is an urgent need to develop the SCB prediction program for each satellite, here we use a combined method of least squares and auto-regressive model (LS + AR) from the EOP forecasting, to predict and assess SCB with data from IGS. Results show that the combined LS + AR method can improve the SCB forecast accuracy effectively.
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