Abstract
There are mainly two types of navigation satellite clock in-orbit failures, namely fast anomaly and slow anomaly. The fast anomaly refers to a sudden change in clock error, while the slow anomaly refers to a clock bias that slowly deviates from normal. At present, fast anomaly has been effectively monitored in-orbit, and slow anomaly has problems with long latency and is susceptible to fast anomaly, and has not been effectively solved. This paper analyzes the characteristics of the two types of anomaly, and studies the satellite autonomous integrity monitoring method for satellite clock slow anomaly that has not been effectively solved in orbit. A method for satellite autonomous integrity monitoring based on least-squares quadratic polynomial fitting and separation of fast anomaly and slow anomaly is proposed. Slow anomaly monitoring was implemented based on the separation of two types of failures. Simulation experiments verify the feasibility of this method and evaluate the time-to-alert.
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Acknowledgments
The authors would like to give thanks to many other people in the China Academy of Space Technology (Xi’an) Satellite Navigation Institute for their advice.
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Jia, Y., Bian, L., Zhang, L. (2019). Satellite Autonomous Integrity Monitoring (SAIM) for Satellite Clock Slow Anomaly. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 515. Springer, Singapore. https://doi.org/10.1007/978-981-13-6264-4_86
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DOI: https://doi.org/10.1007/978-981-13-6264-4_86
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