Abstract
As the core component of time-frequency reference generation of satellite navigation system, atomic clock is the guarantee for high-precision navigation signal generation and reception. The integrity monitoring of atomic clocks is the basis for time reference generation and spatial high-precision measurement. This paper adopts the idea of Kalman filter prediction residuals for integrity monitoring, establishes an accurate Kalman filter model of the atomic clock, constructs the Kalman prediction residual vector, and performs two-level Kalman filtering to form a DualKalman filter to improve detection sensitivity. Using IGS data to analyze the calculation examples, the results show that the DualKalman filter integrity detection technology proposed in this paper has the characteristics of high-sensitivity detection and can be used as a GNSS ground/satellite clock integrity monitoring method.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Lee, S., Kim, J., Lee, Y.: Protecting signal integrity against atomic clock anomalies on board GNSS satellites. IEEE Trans. Instrum. Meas. 60, 2738–2745 (2011)
Kaplan, E.D., Hegarty, C.J.: Understanding GPS: Principles and Applications, 2nd edn. Artech House Inc., Boston (2006)
RodrÃguez-Pérez, I., et al.: Inter-satellite links for satellite autonomous integrity monitoring. Adv. Space Res. 47, 197–212 (2011)
Du, Y., Wang, J., Rizos, C., El-Mowafy, A.: Vulnerabilities and integrity of precise point positioning for intelligent transport systems: overview and analysis. Satell. Navig. 2(1), 1–22 (2021). https://doi.org/10.1186/s43020-020-00034-8
Riley, W.J.: Algorithms for frequency jump detection. Metrologia 45, S154–S161 (2008)
Nunzi, E., Carbone, P.: Monitoring signal integrity of atomic clocks by means of the GLRT. Metrologia 45, S103–S107 (2008)
Galleani, L.: Detection of changes in clock noise using the time–frequency spectrum. Metrologia 45(6), S143–S153 (2008). https://doi.org/10.1088/0026-1394/45/6/S20
Galleani, L., Tavella, P.: Detection and identification of atomic clock anomalies. Metrologia 45, S127–S133 (2008)
Nunzi, E., Galleani, L., Tavella, P., Carbone, P.: Detection of anomalies in the behavior of atomic clocks. IEEE Trans. Instrum. Meas. 56, 523–528 (2007)
Galleani, L., Tavella, P.: The dynamic Allan variance. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 56, 450–464 (2009)
Galleani, L.: The dynamic Allan variance II: a fast computational algorithm. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 57, 182–188 (2010)
Sesia, I., Galleani, L., Tavella, P.: Application of the dynamic Allan variance for the characterization of space clock behavior. IEEE Trans. Aerosp. Electron. Syst. 47, 884–895 (2011)
Galleani, L., Tavella, P.: Detection of atomic clock frequency jumps with Kalman filter. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 59, 504–509 (2012)
Huang, X., Gong, H., Gang, O.: Detection of weak frequency jumps for GNSS on-board clocks. IEEE Trans. Ultra Ferroelectr. Freq. Control 51(1), 1374–1375 (2014)
Huang, X., Gong, H., Zhu, X., Gang, O.: Detection of atomic clock frequency anomaly with Kalman filter. Metrologia 51(1), 1374–1375 (2014)
Tavella, P.: Statistical and mathematical tools for atomic clocks. Metrologia 45, S183–S192 (2008)
Galleani, L.: A tutorial on the two-state model of the atomic clock noise. Metrologia 45, S175–S182 (2008)
Davis, J.A., Greenhall, C.A., Stacey, P.W.: A Kalman filter clock algorithm for use in the presence of flicker frequency modulation noise. Metrologia 42, S1–S10 (2005)
Harris, P.M., Davis, J.A., Cox, M.G., Shemar, S.L.: Least-squares analysis of time series data and its application to two-way satellite time and frequency transfer measurements. Metrologia 40, S342–S347 (2003)
Greenhall, C.A.: Linear invariant estimation of clock phase and trend from noisy phase data. Metrologia 46, 569–577 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Huang, X., Ren, Z., Peng, J., Gong, H. (2021). Research on Integrity Monitoring Techniques for Atomic Clocks Based on DualKalman Filter. In: Yang, C., Xie, J. (eds) China Satellite Navigation Conference (CSNC 2021) Proceedings. Lecture Notes in Electrical Engineering, vol 774. Springer, Singapore. https://doi.org/10.1007/978-981-16-3146-7_4
Download citation
DOI: https://doi.org/10.1007/978-981-16-3146-7_4
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-3145-0
Online ISBN: 978-981-16-3146-7
eBook Packages: EngineeringEngineering (R0)