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An Evaluation of the Beidou Time System (BDT)

Published online by Cambridge University Press:  14 October 2011

Wei-guang Gao*
Affiliation:
(Beijing Institute of Tracking and Telecommunication Technology, Beijing 100094, China) (School of Electronic and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing, 100191, China)
Wen-hai Jiao
Affiliation:
(Xian Research Institute of Surveying and Mapping, Xian 710054, China)
Yun Xiao
Affiliation:
(Xian Research Institute of Surveying and Mapping, Xian 710054, China)
Mao-lei Wang
Affiliation:
(Beijing Global Centre of Information Application and Development, Beijing 100094, China)
Hai-bo Yuan
Affiliation:
(National Timing Service Centre, the Chinese Academy of Sciences, Lintong 710600, China)

Abstract

The evaluation of Beidou system time is one of the important tasks in constructing and developing the Beidou satellite navigation system. The evaluation methods based on two-way satellite time and frequency transfer method (TWSTFT) and GPS common-view method are proposed in this paper. Tests and performance evaluation of the Beidou time system (BDT) were conducted. Results show that BDT is stable and reliable. The BDT frequency deviation, Allan deviations and clock offsets, relative to UTC (NTSC), are 10e-14, 10e-15 and less than 30 ns respectively.

Type
Research Article
Copyright
Copyright © The Royal Institute of Navigation 2011

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References

REFERENCES

Cheng, P. F., Cai, Y. H., Wen, H. J., Wang, X. X., Yao, Y. B. and Wang, H. (2009). Trans. GNSS–global navigation satellite system GPS, Glonass, Galileo and more[M]. Beijing Surveying and Mapping Publishing Company. (In Chinese).Google Scholar
China Satellite Navigation Project Center (2009). COMPASS/Beidou navigation satellite system development. The 4th Meeting of International Committee on GNSS (ICG), Sep. 13–18, Saint Petersburg, Russia.Google Scholar
Liu, L. (2004). Relativistic theory of time transfer and techniques of clock synchronization[D]. Institute of Surveying and Mapping, University of Information Engineering. (In Chinese).Google Scholar
Allan, D. W., Barnes, J. A. (1981). A modified Allan variance with increased oscillator characterization ability[J]. Proceedings of 35th FCS, 254258.Google Scholar
Weiss, M. A. (1985). Weighting and smoothing of data in GPS common view time transfer[J]. Proceedings of PTTI Mtg, 261275.Google Scholar
Wang, Z. M., Gao, J. F. (2000). The progress on precise time transfer and comparison between remote site [J]. Progress in Astronomy, 18 (3): 181191. (In Chinese).CrossRefGoogle Scholar
Yang, X. H. (2003). Study on the application of time and frequency transfer with GPS common-view (doctoral dissertation) [D]. Shaanxi Astronomical Observatory. (In Chinese).Google Scholar
Military Training Material Editing Work Committee of PLA General Armament Department (2004). Time synchronization technology[M]. National Defense Industry Press. (In Chinese).Google Scholar
Guo, H. R. (2006). Study on the analysis theories and algorithms of the time and frequency charaeterization for atomic clocks of navigation satellites[D]. Institute of Surveying and Mapping, University of Information Engineering. 2006. (In Chinese).Google Scholar
Yang, Y. X. (1999). Robust estimation of geodetic datum transformation[J]. Journal of Geodesy, 73: 268274.CrossRefGoogle Scholar
Yang, Y. X., Cheng, M. K., Shum, C. K. and Tapley, B. D. (1999). Robust estimation of systematic errors of satellite laser range[J]. Journal of Geodesy, 73: 345349.CrossRefGoogle Scholar
Yang, Y. X. (2001). Some numerical prediction methods for the wind speed in the sea based on ERS-1 scatter ometer wind data[J]. Survey Review, 36: 121131.CrossRefGoogle Scholar
Yang, Y. X., Song, L. J. and Xu, T. H. (2002). Robust estimator for correlated observations based on bifactor equivalent weights[J]. Journal of Geodesy, 76(6): 353358.CrossRefGoogle Scholar
Allan, D. W. (1966). Statistics of atomic frequency standards[J]. Proceedings of the IEEE, Feb., 54(2): 221230.CrossRefGoogle Scholar
Baugh, R. A. (1971). Frequency modulation analysis with the Hadamard variance[J]. Proceedings of Annu. Symp. on Freq. Control, June, 222225.Google Scholar