1.北京卫星导航中心,北京,100094
2.武汉大学卫星导航定位技术研究中心,湖北 武汉,430079
3.中国科学院上海天文台,上海,200030
王宇谱,博士,主要从事GNSS时频数据处理理论与方法研究。987834660@qq.com
收稿:2023-10-04,
纸质出版:2025-12-05
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王宇谱,刘经南,胡彩波,等.基于PPS测量的GNSS时差监测评估方法[J].武汉大学学报(信息科学版),2025,50(12):2418-2427.
WANG Yupu,LIU Jingnan,HU Caibo,et al.A GNSS Time Offset Monitoring and Evaluation Method Based on PPS Measurement[J].Geomatics and Information Science of Wuhan University,2025,50(12):2418-2427.
王宇谱,刘经南,胡彩波,等.基于PPS测量的GNSS时差监测评估方法[J].武汉大学学报(信息科学版),2025,50(12):2418-2427. DOI:10.13203/j.whugis20220651
WANG Yupu,LIU Jingnan,HU Caibo,et al.A GNSS Time Offset Monitoring and Evaluation Method Based on PPS Measurement[J].Geomatics and Information Science of Wuhan University,2025,50(12):2418-2427. DOI:10.13203/j.whugis20220651
实时确定并获取不同的全球导航卫星系统(global navigation satellite system
GNSS)时间基准之间的时间偏差,是多系统联合导航、定位与授时的基础。为提高GNSS时差监测精度,并改善现有模型中时延修正不完全等问题,提出一种基于标准秒脉冲(pulse per second
PPS)信号测量的GNSS时差监测方法,并设计了针对时差序列的评估分析策略。首先,通过高性能设备搭建时差监测硬件平台,对时差监测链路进行精确校准与修正;其次,利用空间信号与地面时频源信号的闭合监测,进一步消除未完全补偿的系统误差;最后,基于相应的数据处理方法开展时差计算,实现实时、高精度的GNSS时差监测。此外,构建了同时考虑时差数据的时频特性与精度特性的评估策略,从而更全面地分析时差监测结果的性能。时差监测及其分析结果表明,改进的PPS方法得到的北斗时(BeiDou time
BDT)与其他GNSS时间基准之间的时差测量不确定度优于3 ns,其精度较单点定位方法获得的时差平均提升约4倍。所提时差评估策略能够顾及时差结果的时频特性、精度特性,实现更为全面系统评估分析,BDT与其他GNSS时间基准保持了较好的一致性。
Objectives
2
Real-time knowledge of the system time offsets between different global navigation satellite system (GNSS) time references is a prerequisite for multi-GNSS joint navigation
positioning
and timing. This study aims to improve the accuracy of time offset monitoring and overcome limitations of existing models
such as incomplete delay correction.
Methods
2
A monitoring method utilizing a standard one pulse per second (PPS) signal is proposed. The process involves constructing a hardware platform with high-performance equipment and performing precise calibration of the monitoring link. Subsequently
systematic errors such as time delay are optimized through closed-loop monitoring based on ground-based time and frequency signal sources
and the time offset data are processed with a dedicated algorithm. Furthermore
an evaluation strategy integrating both time-frequency and precision characteristics is established. This strategy assesses the time offset results by calculating their accuracy
drift rate
and short-term stability
with the latter quantified by the modified hadamard variance
alongside the uncertainty of the corresponding fitting residuals.
Results
2
The monitoring and analysis results demonstrate that the new method achieves a measurement uncertainty of better than 3 ns for the time offsets between other major GNSS system times. Its accuracy is
on average
four times higher than that of the single-point positioning method. The proposed evaluation strategy enables a comprehensive system analysis by considering both the time-frequency and precision characteristics of the results.
Conclusions
2
The proposed framework
integrating the modified one PPS calibration
closed-loop monitoring between the received spatial signal and the corresponding ground-based time frequency signal
and a dedicated data processing algorithm
enables real-time
high-precision GNSS time offset monitoring. The accompanying evaluation strategy provides a scientific and effective means for multi-faceted result analysis. The results confirm that BDT maintains good consistency with other GNSS time references.
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