| BPL长波授时信号传输时延的时间变化分析 |
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| 引用本文： | 李云,华宇,燕保荣,郭伟. BPL长波授时信号传输时延的时间变化分析[J]. 宇航计测技术, 2019, 39(1): 12-16. DOI: 10.12060/j.issn.10007202.2019.01.03 |
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| 作者姓名： | 李云 华宇 燕保荣 郭伟 |
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| 作者单位： | 1、中国科学院国家授时中心，陕西西安 710600；2、中国科学院精密导航定位与定时技术重点实验室，陕西西安 710600；3、中国科学院大学，北京 100049 |
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| 摘 要： | 由于GNSS系统的脆弱性,Loran-C/BPL系统作为GNSS系统的备份研究,受到国内外的重视,但如何获取高精度的传播时延一直是制约长波系统实现高精度授时的瓶颈。本文从测量角度出发分析路径时延的空间变化和时间变化,着重利用实际测量数据分析路径时延的时间变化规律。结果表明信号传播路径相似、且传播路径上天气变化相似的条件下相距100km内的用户其接收信号的传播时延时间变化规律基本相同,这为长波差分授时奠定基础。
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| 关 键 词： | BPL 长波授时信号 传输时延 时间变化 空间变化 |
Analysis on Time Variation Analysis of BPL Long Wave Time Service Signal Transmission Delay |
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| LI Yun,HUA Yu,YAN Bao-rong,GUO Wei. Analysis on Time Variation Analysis of BPL Long Wave Time Service Signal Transmission Delay[J]. Journal of Astronautic Metrology and Measurement, 2019, 39(1): 12-16. DOI: 10.12060/j.issn.10007202.2019.01.03 |
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| Authors: | LI Yun HUA Yu YAN Bao-rong GUO Wei |
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| Affiliation: | 1、National Time Service Center Xi’an 710600,China;2、Key Lab of Precision Navigation and Timing Technology Chinese Academy of Sciences Xian 710600,China;3、University of the Chinese Academy of Sciences Beijing 100049,China |
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| Abstract: | Because of the fragility of the GNSS system,The Loran-C/BPL system has been paid more and more attention at home and abroad,as the backup of the GNSS system. How to get the precise propagation delay is always the bottleneck restricting the realization of high precision timing service in the long wave system. In this paper,the temporal variations and spatial variations of propagation delay are analyzed and the temporal variation is analyzed in detail with the actual measurement data. The result show that the received signal propagation delay temporal variations is basically the same，under the condition that the signal propagation path is similar and the weather condition in the transmission path is similar，hundreds of kilometers away from the users，which provides evidence for the BPL long wave differential timing. |
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| Keywords: | BPL long wave timing signal Propagation delay Temporal changes Spatial variations |
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