Long-term Prediction Algorithm for Navigation Satellite Clocks Supported by Inter-satellite Links

Shuaihe Gao, Leyuan Sun, Lishu Guo, Yi Zhou
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Abstract

Long-term prediction accuracy of navigation satellite clocks determines the autonomous navigation service performance. The long-term predictability of the clock deviation is limited by the long-term frequency stability of the satellite-borne atomic clock. The new-generation navigation satellites are planned or have been equipped with inter-satellite links to achieve autonomous navigation. With the support of the inter-satellite link, this paper uses the relative clock deviation measurement of the inter-satellite network to generate a virtual composite clock whose long-term frequency stability is better than all satellite-borne atomic clocks. The virtual clock deviation is predicted for a long time. Combined the predicted virtual clock and the real time estimation of clock deviation from the Kalman filter, the long-term prediction value of the clock deviation of each satellite is obtained, thereby improving the accuracy of the long-term prediction of the satellite clock deviation. The simulation results show that the method in this paper can make the prediction accuracy of the satellite clock deviation better than 20 ns after 30 days, which can be improved by more than 90% compared with the conventional single satellite clock deviation prediction accuracy.
星间链路支持的导航卫星时钟长期预测算法
导航卫星时钟的长期预测精度决定了自主导航服务的性能。时钟偏差的长期可预测性受到星载原子钟长期频率稳定性的限制。新一代导航卫星正在计划或已经配备星间链路,以实现自主导航。在星间链路的支持下,利用星间网络的相对时钟偏差测量,生成了一个长期频率稳定性优于所有星载原子钟的虚拟复合时钟。对虚拟时钟偏差进行了长时间的预测。将预测的虚拟时钟与卡尔曼滤波实时估计的时钟偏差相结合,得到各卫星时钟偏差的长期预测值,从而提高了卫星时钟偏差长期预测的精度。仿真结果表明,该方法可使卫星时钟偏差在30天后的预测精度优于20 ns,与传统的单星时钟偏差预测精度相比,可提高90%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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