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Prediction of Clock Errors of Atomic Clocks Based on Modified Linear Combination Model† |
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| Authors: | Wang Ji-gang Hu Yong-huiHe Zai-min Wu Jian-feng Ma Hong-jiaoWang Kang |
| Institution: | a National Time Service Center, Chinese Academy of Sciences, Xi’an 710600 b Graduate University of Chinese Academy of Sciences, Beijing 100049 c College of Mapping Engineering, Huaihai Institute of Technology, Lianyungang 222005 |
| Abstract: | The prediction of the clock errors of atomic clocks plays an important role in the work on time and frequency. Each of the prediction models often used at present has its own merits and shortages. A combination of the predicted results obtained by means of these models can be used to synthesize the characteristics of various kinds of prediction models. In the light of the problem which occurs when the linear combination model is used to make the prediction of clock errors, the concept of learning weight is proposed and the modified combination prediction model is made by taking advantage of various kinds of pieces of accuracy information. For verifying the efficiency of this method the clock error sequences of the IGS (International GNSS Service) of 4 GPS satellites are selected and the predicted results of the quadratic polynomial and grey model are combined. The result shows that the modified model can further improve the stability and accuracy based on the guarantee of the reliability. |
| Keywords: | time-method: data analysis |
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