FUNCTIONAL NETWORK IN NAVIGATION SATELLITE CLOCK ERROR PREDICTION - A Novel Application

Ying Wang, Bo Xu, Xuhai Yang

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.

References

  1. Bruen, M., Dooge, J. C. I., 1984. An efficient and robust method for estimating unit hydrograph ordinates. Journal of Hydrology, vol.70, February, pp.1-24.
  2. Castillo, E., 1998. Functional Networks. Neural Processing Letters, 7, pp. 151-159.
  3. Castillo, E., Cobo. A., GutiƩrrez J. M. et al., 1999. Functional networks with applications: a neural-based paradigm. Boston et al.: Kluwer Academic Publishers.
  4. Castillo, E., GutiƩrrez, J. M., 1998. Nonlinear time series modeling and prediction using functional networks. Extracting information masked by chaos. Physics Letters A, 244, pp.71-84.
  5. Cui X. Q., Jiao W. H., 2005. Grey system model for the satellite clock error predicting. Geomatics and Information Science of Wuhan University, vol. 30, no. 5, May, pp.447-450.
  6. Delporte, J., 2004. Performance of GPS on board clocks computed by IGS, Frequency and Time Forum. EFTF 2004.18th European, Guildford, pp.201-207.
  7. Li C. G., Liao X. F., He S. B. et al., 2001. Functional network method for the identification of nonlinear system. System Engineering and Electronics, vol. 23, no. 11, pp.50-53.
  8. Panfilo, G., Tavella, P., 2008. Atomic clock prediction based on stochastic differential equations. Metrologia 45, vol.45, no.6, December, pp.108-110.
  9. Tomasiello, S., 2011. A functional network to predict fresh and hardened properties of self-compacting concretes. International Journal for Numerical Methods in Biomedical Engineering, vol. 27, no.6, June, pp.840-847.
  10. Xu J. Y., Zeng A.M., 2009. Application of ARIMA(0,2,q) model to prediction of satellite clock error. Journal of Geodesy and Geodynamics, vol. 29, no. 5, October, pp.116-120.
  11. Zhang B., Ou J. K., Yuan Y. B. et al., 2007. Fitting method for GPS satellite Clock errors using wavelet and spectrum analysis. Geomatics and Information Science of Wuhan University, vol.32, no.8, August, pp.715-718.
Download


Paper Citation


in Harvard Style

Wang Y., Xu B. and Yang X. (2011). FUNCTIONAL NETWORK IN NAVIGATION SATELLITE CLOCK ERROR PREDICTION - A Novel Application . In Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011) ISBN 978-989-8425-84-3, pages 41-50. DOI: 10.5220/0003680100410050


in Bibtex Style

@conference{ncta11,
author={Ying Wang and Bo Xu and Xuhai Yang},
title={FUNCTIONAL NETWORK IN NAVIGATION SATELLITE CLOCK ERROR PREDICTION - A Novel Application},
booktitle={Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011)},
year={2011},
pages={41-50},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003680100410050},
isbn={978-989-8425-84-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011)
TI - FUNCTIONAL NETWORK IN NAVIGATION SATELLITE CLOCK ERROR PREDICTION - A Novel Application
SN - 978-989-8425-84-3
AU - Wang Y.
AU - Xu B.
AU - Yang X.
PY - 2011
SP - 41
EP - 50
DO - 10.5220/0003680100410050