Authors:
Ying Wang
1
;
Bo Xu
2
and
Xuhai Yang
3
Affiliations:
1
College of Astronautics and Nanjing University of Aeronautics and Astronautics, China
;
2
College of Astronautics, Nanjing University of Aeronautics and Astronautics, School of Astronomy & Space Science and Nanjing University, China
;
3
National Time Service Centre, China
Keyword(s):
Functional network, Time delay, Satellite clock error, Clock error prediction, Neural network.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Complex Artificial Neural Network Based Systems and Dynamics
;
Complex-Valued Neural Networks
;
Computational Intelligence
;
Enterprise Information Systems
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Intelligent Artificial Perception and Neural Sensors
;
Methodologies and Methods
;
Neural Based Data Mining and Complex Information Processing
;
Neural Network Software and Applications
;
Neural Networks
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Theory and Methods
Abstract:
In order to describe the characteristics of navigation satellite clock error better and improve navigation satellite clock error prediction accuracy, a satellite clock prediction method based on functional network is proposed in this paper. The method added delay variables to the traditional functional network which can reflect the dynamical characteristics of navigation satellite clock error better than the traditional method without delay variables. The GPS satellites are taken for example; simulation results show that the prediction accuracy of the proposed method is better than those of quadratic polynomial, quadratic polynomial with periodic term, ARIMA and the grey methods.