测绘通报 ›› 2026, Vol. 0 ›› Issue (3): 1-6.doi: 10.13474/j.cnki.11-2246.2026.0301

• 北斗导航与位置服务 •    下一篇

基于有限星间测量数据的北斗卫星钟差建模及预测方法

叶超凡1,2, 白燕1,2, 张小贞1, 张峰3   

  1. 1. 中国科学院国家授时中心, 陕西 西安 710600;
    2. 中国科学院大学, 北京 100049;
    3. 中国西安卫星测控中心, 陕西 西安 710043
  • 收稿日期:2025-08-20 出版日期:2026-03-25 发布日期:2026-04-08
  • 通讯作者: 白燕。E-mail:by@ntsc.ac.cn
  • 作者简介:叶超凡(2001—),男,硕士生,主要研究方向为卫星钟差建模及预测。E-mail:yechaofan@ntsc.ac.cn
  • 基金资助:
    国家重点研发计划(2023YFB3906500)

BeiDou satellite clock bias modeling and prediction method based on limited inter-satellite link measurement data

YE Chaofan1,2, BAI Yan1,2, ZHANG Xiaozhen1, ZHANG Feng3   

  1. 1. National Time Service Center, Chinese Academy of Sciences, Xi'an 710600, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China;
    3. China Xi'an Satellite Control Center, Xi'an 710043, China
  • Received:2025-08-20 Online:2026-03-25 Published:2026-04-08

摘要: 北斗卫星导航系统基于星间链路技术可以实现自主轨道确定和自主时间同步,为自主运行模式下采用星间测量数据确定北斗卫星钟差并进行钟差建模预测提供了可能。本文针对北斗星间测量数据不连续、不均匀等特征,提出了一种融合二次多项式(QP)模型与Lomb-Scargle(LS)周期修正算法的建模与预测方法,可以有效分离钟差的趋势项、周期项及随机项。利用北斗三号星间链路实测数据验证,结果表明,QP+LS融合模型显著提升了钟差预报精度,3 h短期预测RMS值优于0.128 ns,24 h预测RMS值优于0.442 ns,相对于传统QP+FFT算法,平均精度分别提升29.68%和17.60%。本文研究结果可为北斗卫星自主运行模式卫星钟差预报、有限测量数据的钟差模型建立等提供一定的技术参考。

关键词: 钟差建模与预报, 星间链路, 时间同步体制, 组合模型, Lomb-Scargle谱分析

Abstract: BeiDou Navigation Satellite System (BDS) achieves autonomous orbit determination and time synchronization capabilities through inter-satellite link (ISL) technology,enabling the determination and predictive modeling of satellite clock biases using ISL measurements during autonomous operation.Addressing discontinuous and non-uniform data characteristics in BDS ISL measurements,this study proposes a hybrid modeling approach integrating a quadratic polynomial (QP) model with the Lomb-Scargle (LS) periodic correction algorithm to effectively decompose clock biases into trend,periodic,and stochastic components.Validations using BeiDou-3 ISL measurements demonstrate that the QP+LS fusion model significantly enhances prediction accuracy:3-hour predictions achieve an RMS better than 0.128 ns,and 24-hour predictions an RMS better than 0.442 ns,representing average improvements of 29.68% and 17.60% respectively over the conventional QP+FFT algorithm.These results provide critical technical references for clock bias prediction in BDS autonomous operations and clock modeling under constrained measurement data conditions.

Key words: clock bias modeling and prediction, inter-satellite link, time synchronization mechanism, hybrid model, Lomb-Scargle spectral analysis

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