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基于GNSS的5G基站高精度时间同步组网算法
引用本文:潘党飞,刘文学,袁洪,葛建. 基于GNSS的5G基站高精度时间同步组网算法[J]. 系统工程与电子技术, 2020, 42(9): 2107-2115. DOI: 10.3969/j.issn.1001-506X.2020.09.29
作者姓名:潘党飞  刘文学  袁洪  葛建
作者单位:1. 中国科学院光电研究院, 北京 1000892. 中国科学院大学, 北京 100089
摘    要:基于物联网定位等需求,增强5G移动通信基站之间的时间同步精度有望达到纳秒级。基于“邻域相似性”原理,针对5G基站利用全球卫星导航系统(global navigation satellite system, GNSS)进行授时时,由于可视卫星集合不同造成接收机之间时间同步误差较大,提出一种基站GNSS接收机组网算法,用以消除邻域差异,提高相互邻近的各5G基站之间的时间同步精度,并对该算法进行了实验验证。结果表明,该算法有效解决了由于可视卫星集合不同造成的时间同步误差较大的问题,提高了5G基站之间的时间同步精度。

关 键 词:5G基站  时间同步  GNSS授时  组网算法  
收稿时间:2019-12-18

High-precision time synchronization networking algorithm for 5G base station based on GNSS
Dangfei PAN,Wenxue LIU,Hong YUAN,Jian GE. High-precision time synchronization networking algorithm for 5G base station based on GNSS[J]. System Engineering and Electronics, 2020, 42(9): 2107-2115. DOI: 10.3969/j.issn.1001-506X.2020.09.29
Authors:Dangfei PAN  Wenxue LIU  Hong YUAN  Jian GE
Affiliation:1. Academy of Opto-Electronics, Chinese Academy of Sciences, Beijing 100089, China2. University of Chinese Academy of Sciences, Beijing 100089, China
Abstract:Based on the requirements of internet of things positioning, the accuracy of time synchronization among 5G mobile communication base stations is expected to reach the nanosecond level. Based on the principle of neighborhood similarity, an algorithm is proposed to eliminate neighborhood differences and improve the accuracy of time synchronization among 5G base stations due to the large error of time synchronization among the receivers as the different sets of visual satellites during time service of 5G base stations through the global navigation satellite system (GNSS). The algorithm is verified by experiments. The results show that the algorithm effectively solves the problem of large time synchronization error caused by different sets of visual satellites and improves the accuracy of time synchronization among 5G base stations.
Keywords:5G base station  time synchronization  global narigation satellite system (GNSS) time service  networking algorithm  
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