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An Integrity Monitoring Algorithm for Satellite Clock Based on Test Statistics

【摘要】:As a core part of satellite payload,satellite clock has a direct influence on GNSS service performance.Therefore,it is necessary to monitor its integrity. In this paper,real-time test statistics for satellite clock phase and frequency anomaly are built,and an integrity monitoring algorithm for satellite clock based on these statistics is proposed.It is composed of two parts,including phase anomaly monitoring and frequency anomaly monitoring,which mainly aims at three anomalies comprising occasional bad or outlier points,anomaly jumps that later return to stable values and phase or frequency steps.The new algorithm can not only detect phase and frequency anomalies,but also identify and deal with clock anomaly instantly,including eliminating and replacing the anomaly data. Satellite clock anomalies are simulated using the IGS observation clock data and performance of the new algorithm is verified.The results show that the new algorithm has a perfect performance of detecting the satellite clock anomaly including both phase anomaly and frequency anomaly.At the same time,it can also eliminate and replace the anomaly data,and the replaced error is negligible. The integrity monitoring algorithm for satellite clock proposed in this paper is helpful to GNSS satellite clock autonomous integrity monitoring.

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