APPLICATION OF ARIMA（0，2，q）MODEL TO PREDICTION OF SATELLITE CLOCK ERROR
Xu Junyi1，2） ; and Zeng Anmin3）
1）Institute of Surveying and Mapping，Information Engineering University，Zhengzhou 450052 2）Xi’an Information Technique Institute of Surveying and Mapping，Xi’an 710054 3）Xi’an Research Institute of Surveying and Mapping，Xi’an 710054
Abstract The methods currently used in satellite clock error forecasting are quadratic polynomial model and grey model.The shortcomings of these models are discussed，and a new ARIMA（0，2，q）model is proposed to model and predict the clock error for one day.The analysis of the time series of satellite clock error reveals that the related character of clock error accords with that of moving average model（MA）after differentiation two times.Thus the ARIMA（0，2，q）forecasting model is established.The final results by use of the ARIMA（0，2，q）shows that the integral forecasting accuracy of ARIMA（0，2，q）model is better than those of quadratic polynomial model and grey model.
Key words ：
time series
ARIMA
grey model
satellite clock error
clock error forecasting
Received: 01 January 1900
Corresponding Authors:
Xu Junyi
Cite this article:
Xu Junyi,,and Zeng Anmin. APPLICATION OF ARIMA（0，2，q）MODEL TO PREDICTION OF SATELLITE CLOCK ERROR[J]. , 2009, 29(5): 116-120.
Xu Junyi,,and Zeng Anmin. APPLICATION OF ARIMA（0，2，q）MODEL TO PREDICTION OF SATELLITE CLOCK ERROR[J]. jgg, 2009, 29(5): 116-120.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2009/V29/I5/116
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