引用本文: 于合理, 郝金明, 刘伟平, 谢建涛, 张辉. 一种卫星钟差异常实时监测算法[J]. 武汉大学学报 ( 信息科学版), 2016, 41(1): 106-110.
YU Heli, HAO Jinming, LIU Weiping, XIE Jiantao, ZHANG Hui. A Real-Time Anomaly Monitoring Algorithm for Satellite Clock[J]. Geomatics and Information Science of Wuhan University, 2016, 41(1): 106-110.
 Citation: YU Heli, HAO Jinming, LIU Weiping, XIE Jiantao, ZHANG Hui. A Real-Time Anomaly Monitoring Algorithm for Satellite Clock[J]. Geomatics and Information Science of Wuhan University, 2016, 41(1): 106-110.

## A Real-Time Anomaly Monitoring Algorithm for Satellite Clock

• 摘要: 卫星钟差在精密定位中占有重要地位,应当对卫星钟差异常进行实时监测。本文在建立卫星钟差模型的基础上,提出了一种基于递推遗忘因子最小二乘算法(RFFLS)的卫星钟差异常实时监测算法,并利用IGS事后精密钟差产品,对比分析了RFFLS算法与最小二乘算法(LS)、遗忘因子最小二乘算法(FFLS)的卫星钟差预报精度、预报耗时和对卫星钟差异常的监测性能。实验结果表明, RFFLS算法计算时间仅为LS算法和FFLS算法的十分之一,且RFFLS算法钟差异常监测能力最优。该方法简便易行,应用灵活,在实时应用中具有明显优势。

Abstract: Satellite clock error plays an important role in precision positioning, so it is essential to monitor its anomalies in real time. On the premise of modeling satellite clock error, this paper proposes a real-time satellite clock anomaly monitoring algorithm, based on the forgetting factor least square algorithm (RFFLS algorithm). The principles of this algorithm are explained. Using the IGS final precision product, comparisons are made between the RFFLS algorithm, LS algorithm, and FFLS algorithm for satellite clock error prediction precision, time consumption, and anomaly monitoring performance. The results show that the time consumption of RFFLS algorithm is only one tenth of that of LS algorithm or FFLS algorithm, and the anomaly monitoring ability of RFFLS algorithm is the best. In conclusion, the RFFLS algorithm is simple, flexible, and shows a clear advantage in real-time application.

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