混合模型在短弧跟踪卫星钟差预报中的应用
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TN967

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Application of Hybrid Model in Satellite Clock Error Predicting Based on Short Arc Tracking
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    摘要:

    当卫星在空间轨道飞行到地面监测站观测不到的弧段时,卫星钟与系统时间之间的同步只能由卫星钟自己维持,为了得到连续的卫星钟差结果,必须对卫星钟差进行预报。本文针对地面站频繁观测不到卫星导致的卫星钟差数据频繁中断这一特殊情况,提出多项式加 AR 混合模型,以 GPS 星载原子钟差时间序列为实例进行钟差预报分析,并与 GPS 常用的二阶多项式模型预报结果进行比较,结果表明:短弧跟踪条件下,多项式加 AR 混合模型对 GPS 星载原子钟进行 8~20 h 钟差预报时精度均优于 1ns,明显高于二阶多项式模型预报精度,满足实际应用中短弧跟踪条件下的钟差预报精度要求。这一结论为短弧跟踪条件下的星载原子钟差预报做了理论上的铺垫。

    Abstract:

    When a satellite can not be saw by all the stations, time transfer between the satellite clock and the system time can but be accomplished by satellite. We need predict clock error for receiving continuous satellite clock error. This paper thoroughly study on satellite clock error prediction methods based on short arc tracking when the satellite can not be saw high frequency by all the stations. A hybrid model combining polynomial and AR model is proposed. By calculation and analysis using GPS Satellite Clock Error, some useful conclusions are drawn by comparing the results with that calculated from the classical quadratic polynomial model. In the short-term(from 8 to 20 hours) predicting GPS satellite clock error precisions of the hybrid method are up to 1 ns, which exceeds quadratic polynomial model obviously and satisfies precision requirements in the real application. This conclusion can be an academic base of satellite clock error predicting when the satellite can not be saw high frequency by all the stations.

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许昭霞.混合模型在短弧跟踪卫星钟差预报中的应用[J].现代导航,2015,6(2):87-90

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  • 在线发布日期: 2022-05-17
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