CLOCK ERROR PREDICTION USING LEAST SQUARES SUPPORT VECTOR MACHINES
1）National Time Service Centre, CAS, Xi’an 710600
2）Key Laboratory of Time and Frequency Primary Standards, CAS, Xi’an 710600
3）Key Laboratory of Precision Navigation and Timing Technology, CAS, Xi’an 710600
4）University of Chinese Academy of Sciences, Beijing 100049
Abstract：To improve the prediction accuracy of satellite clock error, least squares support vector machines（LS-SVM） is employed. The impact of the kernel function type on LS-SVM is analyzed. Furthermore, the prediction accuracy is compared with that of the secondary are polynomial and grey system model. The results show that the LS-SVM method has higher accuracy than two other methods, and the linear kernel function is better than others for the method.
