基于Kalman滤波器的卫星钟实时异常监测算法

A Real-Time Anomaly Monitoring Algorithm for Satellite Clock Based on Kalman Filter

基于卫星钟钟差的Kalman滤波器模型,提出了一种卫星钟实时异常监测算法,对算法原理进行了讨论,并利用IGS精密钟差数据,对算法进行了性能验证。结果表明:该算法对卫星钟的异常情况(包括单点相位跳变与连续相位跳变)可以进行有效监测,同时还可以完成异常数据的剔除与替换,并且具有较小的替换误差。该算法具有显著的实时性,可以应用于星载原子钟的实时异常监测中。

In this paper, a real-time satellite clock anomaly monitoring algorithm is proposed, which is based on Kalman filter model of satellite clock offset. Principles of the new algorithm are dis- cussed and the performance is verified using the IGS observation clock offset data. The results show that the new algorithm have a perfect performance of detecting the satellite clock anomaly in both single point phase jump and continuous phase jump. At the same time, it can also eliminate and replace the anomaly data, and the replaced error is negligible. In addition, the new algorithm possesses an obvious property of real-time detecting, which can be applied to real-time anomaly monitoring of satellite clock.