针对北斗卫星系统难以在全球布站的现实情况，提出了一种基于Kalman滤波的星上时间自主完好性检测方法.该方法利用北斗卫星真实在轨数据，从星间链路测距值中解算出时间信息，经过历元归算得到相对钟差.利用原子钟时频基准的工作机理分析了星间测量数据的误差模型，设计了Kalman滤波监测算法.仿真分析了Kalman滤波对于北斗卫星真实在轨星间链路测距值中相位跳变和频率跳变的监测性能.结果表明，以钟差数据作为Kalman滤波的观测值，可以有效检测并识别出钟差数据的相位跳变和频率跳变，且为工程实践提出合适的检测门限.
In view of the fact that the Beidou satellite system is difficult to deploy globally, this paper proposes an autonomous integrity detection method using Kalman filter based on satellite time. A model of atomic clock and time-frequency system is established to analyze errors in inter-satellite measurement data using real in-orbit data of Beidou. Time information is calculated from the distance measurement value of inter-satellite link, and relative clock difference is obtained through the ergodic regression calculation, Kalman filter monitoring algorithm is designed to monitor phase hopping and frequency hopping. Through simulation, monitoring performance of Kalman filter for the phase jump and frequency jump of Beidou satellite in the real inter-orbit link ranging value is analyzed. And according to the range of the abnormal jump, a suitable detection threshold is put forward for engineering practice.
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