Highly accurate real-time GPS carrier phase-disciplined oscillator

IEEE Transactions on Instrumentation and Measurement

Volumn 54, Issue 2, 2005, Pages 819-824

  Cheng, Chia Lung ^a   Chang, Fan Ren ^a   Tu, Kun Yuan ^b  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b CHUNGHWA TELECOM CO LTD   (Taiwan)

Author keywords

Atmospheric delay; Disciplined oscillator; Neural wavelet

Indexed keywords

ATOMIC CLOCKS; CRYSTAL OSCILLATORS; FREQUENCIES; FREQUENCY STABILITY; MATHEMATICAL MODELS; MULTILAYER NEURAL NETWORKS; RECURRENT NEURAL NETWORKS; WAVELET TRANSFORMS;

ATMOSPHERIC DELAY; DISCIPLINED OSCILLATOR; NEURAL WAVELET TRANSFORMS;

GLOBAL POSITIONING SYSTEM;

EID: 17444403207     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2004.843403     Document Type: Article

References (9)

1. J. Davis and J. M. Furlong, "A study examining the possibility of obtaining traceability to UK national standards using GPS disciplined oscillators," in Proc. 11th European Frequency Time Forum, 1997, pp. 515-520.
2. R. Dach et al., "Continuous time transfer using PGPS carrier phase," IEEE Trans. Ultrason., Ferroelectr., Freq. Control, vol. 49, no. 11, pp. 1480-1490, Nov. 2002.
3. J. Ray and K. Senior, "IGS/BIPM pilot project: GPS carrier phase for time/frequency transfer and time scale formation," Metrologia, vol. 40, pp. 270-288, 2003.
4. B. Hofmann-Wellenhof H. Lichtenegger, and J. Collins, Global positioning system: Theory and practice, 4th ed. New York: Springer-Verlag, 1997, pp. 99-109.
5. J. Ray, "New timing products from the IGS: IGS/BIPM time transfer pilot project and UTI-like estimates from GPS," in Proc. IVS Meeting, 2000, p. 289.
6. G. Zhang et al., "Wavelet transform for filtering financial data streams," J. Computational Intelligence Finance, vol. 7, no. 3, pp. 18-35, May/Jun. 1999.
7. C. Lee Giles, S. Lawrence, and A. C. Tsoi, "Noisy time series prediction using a recurrent neural network and grammatical inference," Mach. Learn., vol. 44, pp. 161-183, Jul./Aug. 2001.
8. W. J. Riley and C. A. Greenhall. Power law noise identification using the lag 1 autocorrelation, presented at Proc. 18th Eur. Frequency Time Forum (EFTF). [Online] Available: http://www.wriley.com/Paper125Preprint. pdf
9. D. Soloway and P. J. Haley, "Neural generalized predictive control," in Proc. IEEE Int. Symp. Intelligent Control, 1996, pp. 277-281.