基于GNSS的5G基站高精度时间同步组网算法

doi:10.3969/j.issn.1001-506X.2020.09.29

Abstract

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.

Key words: 5G base station, time synchronization, global narigation satellite system (GNSS) time service, networking algorithm

CLC Number:

TN96

Dangfei PAN, Wenxue LIU, Hong YUAN, Jian GE. High-precision time synchronization networking algorithm for 5G base station based on GNSS[J]. Systems Engineering and Electronics, 2020, 42(9): 2107-2115.

Figures/Tables 15

Fig.1

Fig.2

Fig.3

Fig.4

Fig.5

Fig.6

Fig.7

Fig.8

Fig.9

Fig.10

Fig.11

Table 1

Fig.12

Fig.13

Table 2

References 24

1	IMT-2020(5G) Promotion Group. 5G vision and requirements white paper[R]. 2014.
2	ITU. IMT vision-framework and overall objectives of the future development of IMT for 2020 and beyond[R]. 2015.
3	张平, 陶运铮, 张治. 5G若干关键技术评述[J]. 通信学报, 2016, 37 (7): 15- 29.
	ZHANG P , TAO Y Z , ZHANG Z . Survey of several key technologies for 5G[J]. Journal on Communications, 2016, 37 (7): 15- 29.
4	CHEN Y M, LI T, CUI Y P, et al. Research on indoor and outdoor integrated location service technology[C]//Proc.of the IEEE International Conference on Intelligent Transportation, Big Data & Smart City, 2018: 117-120.
5	GONG X D, HOU J W, LI S Y, et al. Indoor localization method of intelligent mobile terminal based on BIM[C]//Proc.of the IEEE Ubiquitous Positioning, Indoor Navigation and Location-Based Services, 2018.
6	黄志勇, 赵冬青, 张爽娜, 等. 基于粗时段导航与RAIM算法的A-GNSS室内定位[J]. 武汉大学学报·信息科学版, 2017, 42 (3): 321- 327.
	HUANG Z Y , ZHAO D Q , ZHANG S N , et al. A-GNSS indoor positioning based on coarse-time navigation and RAIM algorithm[J]. Geomatics and Information Science of Wuhan University, 2017, 42 (3): 321- 327.
7	王旭东, 董文杰, 吴楠. 基于TDOA/AOA混合的高精度室内可见光定位算法[J]. 系统工程与电子技术, 2019, 41 (10): 2371- 2377. doi: 10.3969/j.issn.1001-506X.2019.10.29
	WANG X D , DONG W J , WU N . Hybrid TDOA/AOA algorithm based high accuracy indoor visible light positioning[J]. Systems Engineering and Electronics, 2019, 41 (10): 2371- 2377. doi: 10.3969/j.issn.1001-506X.2019.10.29
8	AMINEH R A, SHIRAZI A A B. Estimation of user location in 4G wireless networks using cooperative TDOA/RSS/TDOA method[C]//Proc.of the IEEE International Conference on Communication Systems and Network Technologies, 2014.
9	GEROK W, PEISSIG J, KAISER T. TDOA assisted RSSD localization in UWB[C]//Proc.of the IEEE Positioning Navigation & Communication, 2012.
10	LIU Y, YANG L, LI J. Robust UWB indoor position tracking using TDOA measurements[C]//Proc.of the IEEE 4th International Conference on Computer and Communications, 2018.
11	张平, 陈昊. 面向5G的定位技术研究综述[J]. 北京邮电大学学报, 2018, 41 (5): 5- 16.
	ZHANG P , CHEN H . A survey of positioning technology for 5G[J]. Journal of Beijing University of Posts and Telecommunications, 2018, 41 (5): 5- 16.
12	AMITABHA G , ANDREAS M , MATTHEW B , et al. 5G evolution: a view on 5G cellular technology beyond 3GPP release 15[J]. IEEE Access, 2019, 7, 127639- 127651. doi: 10.1109/ACCESS.2019.2939938
13	SUSNATA M , JEYANANDH P . A reconfigurable 28-/37-GHz MMSE-adaptive hybrid-beamforming receiver for carrier aggregation and multi-standard MIMO communication[J]. IEEE Journal of Solid-State Circuits, 2019, 54 (5): 1391- 1406. doi: 10.1109/JSSC.2018.2888844
14	SLIVESTER S , RAM S K , KANUMALLI , et al. A mixed-signal circuit technique for cancellation of multiple modulated spurs in 4G/5G carrier aggregation transceivers[J]. IEEE Solid-State Circuits Letters, 2019, 2 (11): 260- 263. doi: 10.1109/LSSC.2019.2929025
15	陈旿, 高小杰, 李胆胆, 等. 基于灰预测的PTP协议改进方法[J]. 系统工程与电子技术, 2017, 39 (8): 1842- 1848.
	CHEN W , GAO X J , LI D D , et al. Improved method of PTP protocol based on grey prediction[J]. Systems Engineering and Electronics, 2017, 39 (8): 1842- 1848.
16	LYU S , LU Y M , JI Y F . An enhanced IEEE 1588 time synchronization for asymmetric communication link in packet transport network[J]. IEEE Communications Letters, 2010, 14 (8): 764- 766. doi: 10.1109/LCOMM.2010.08.091601
17	KHONDOKAR F H , FENG Y M , TIAN Y C . GNSS time synchronization in vehicular ad-hoc networks: benefits and feasibility[J]. IEEE Trans.on Intelligent Transportation Systems, 2018, 19 (12): 3915- 3924. doi: 10.1109/TITS.2017.2789291
18	PETER A C , GUO H , MA Z . Time synchronization for transmission substations using GPS and IEEE 1588[J]. CSEE Journal of Power and Energy Systems, 2016, 2 (3): 91- 99. doi: 10.17775/CSEEJPES.2016.00040
19	DMITRY P, SERGEI M, TIMO H. Distributed GNSS-based time synchronization and applications[C]//Proc.of the IEEE 8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, 2016.
20	刘文学. GNSS/BD高精度时间同步技术研究[D].北京:中国科学院大学, 2019.
	LIU W X. Research on GNSS/BD high precision time synchronization technology[D]. Beijing: University of Chinesse Academy of Sciences, 2019.
21	LIU W X, LIANG D D, LUO R D, et al. Application strategy of Beidou and GPS signals in regional high-precision time synchronization[C]//Proc.of the IEEE International Computers, Signals and Systems Conference, 2018.
22	LIANG K. Time transfer via different GNSS systems[C]//Proc.of the IEEE URSI Asia-Pacific Radio Science Confe-rence, 2019.
23	谢钢. GPS原理与接收机设计[M]. 北京: 电子工业出版社, 2009.
	XIE G . Principles of GPS and receiver design[M]. Beijing: Publishing House of Electronics Industry, 2009.
24	郭斐, 张小红, 李星星. GPS系列卫星广播星历轨道和钟的精度分析[J]. 武汉大学学报·信息科学版, 2009, (5): 88- 91.
	GUO F , ZHANG X H , LI X X . Precision analysis on orbit and clock of GPS satellites broadcast ephemeris[J]. Geomatics and information Science of Wuhan University, 2009, (5): 88- 91.

对比项图号	均值/s	方差/s²
图10	2.21e-11	1.92e-18
图11	1.26e-11	1.47e-18

对比项图号	均值/s	方差/s²
图12	-3.53e-10	1.68e-18
图13	-0.89e-10	1.25e-18

[1]	YU Shaolin, ZHU Jihong, YANG Jiali. Reference broadcast synchronization utlizing parameter exchange andconfidenceweighted combination [J]. Systems Engineering and Electronics, 2019, 41(6): 1383-1384.
[2]	JIN Zhigang, DING Mengge, SU Yishan, YANG Qiuling, WU Ting. Joint time synchronization and multiple access mechanism for underwater glider networks [J]. Systems Engineering and Electronics, 2019, 41(3): 659-666.
[3]	SONG Xiaoxue, WEI Lu, LIN Shuisheng. Adaptive synchronization technology of mobile Ad Hoc network [J]. Systems Engineering and Electronics, 2018, 40(9): 2113-2118.
[4]	MA Yongsheng, ZHANG Min, GUO Fucheng. Joint bias estimation method for multi-station time synchronization system based on ADS-B [J]. Systems Engineering and Electronics, 2018, 40(4): 726-732.
[5]	GAO Jingjie, SHEN Xiaohong, WANG Haiyan. Initialization method for underwater acoustic networks with one anchor [J]. Systems Engineering and Electronics, 2017, 39(2): 425-430.
[6]	WANG Peng, LI Ge, HUANG Kedi. Architecture and time management for integrated simulation of infield and outfield [J]. Systems Engineering and Electronics, 2017, 39(10): 2255-2263.
[7]	SHI Fan, Zhang Sheng-kang, SHANG Huai-ying, LIANG Zhi-guo, WANG Hong-bo, WU Teng-fei, WANG Hai-feng, YI Hang, NIAN Feng, FENG Ke-ming. High precise time synchronization measurement based on correlation method of femtosecond pulse [J]. Systems Engineering and Electronics, 2016, 38(2): 265-269.

High-precision time synchronization networking algorithm for 5G base station based on GNSS

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 15

References 24

Related Articles 7

Recommended Articles

Metrics

Comments