Timing Synchronization Method in MIMO Power Line Channel Communications

SHEN Min; MAO Wen-jun; YUAN Yi-ming; LI Xin-an

doi:10.13756/j.gtxyj.2022.02.004

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Timing Synchronization Method in MIMO Power Line Channel Communications

更新时间：2022-06-15

- Timing Synchronization Method in MIMO Power Line Channel Communications
- Study on Optical Communications Issue 2, Pages: 18-21,34(2022)
- 作者机构：
  
  1.重庆邮电大学　通信与信息工程学院，重庆　400065
  2.重庆邮电大学　新一代宽带移动通信重点实验室，重庆　400065
- 作者简介：
- 基金信息：
- DOI：10.13756/j.gtxyj.2022.02.004
  CLC： TN913.6
- Published：10 April 2022，
  
  Received：10 June 2021，
扫描看全文
SHEN Min, MAO Wen-jun, YUAN Yi-ming, et al. Timing Synchronization Method in MIMO Power Line Channel Communications. [J]. Study on Optical Communications (2):18-21,34(2022)
DOI：

SHEN Min, MAO Wen-jun, YUAN Yi-ming, et al. Timing Synchronization Method in MIMO Power Line Channel Communications. [J]. Study on Optical Communications (2):18-21,34(2022) DOI： 10.13756/j.gtxyj.2022.02.004.

摘要

针对多输入多输出(MIMO)电力线通信(PLC)系统中的脉冲噪声造成定时同步不准确的问题，文章提出了一种基于MIMO PLC系统的正交频分复用(OFDM)符号定时同步算法，利用差分相关和最大比合并(MRC)提高同步性能。在2×2 MIMO PLC信道模型下，两个发送端口发送自相关性和互相关性良好的前导序列，在接收端通过设置阈值过滤电力线中的脉冲噪声，采用改进的延时自相关算法实现定时粗同步。利用窗口求和方法减小精同步的估计范围后，通过差分相关和MRC联合算法完成定时精同步。相比互相关算法，所提算法有2 dB的提升。仿真结果表明，该方法同步性能明显优于传统互相关算法。

Abstract

For the problem of system timing synchronization inaccuracy caused by impulsive noise in Multiple-Input Multiple-Output (MIMO) Power Line Communication (PLC)

an Orthogonal Frequency Division Multiplexing (OFDM) symbol timing synchronization algorithm based on MIMO PLC system is proposed in this paper

which uses differential correlation and Maximum Ratio Combining (MRC) to improve the synchronization performance. Under 2×2 MIMO PLC channel model

the two transmitting ports send preamble sequences with good autocorrelation and cross-correlation characteristics. At the receiving end

the impulse noise in the power line is filtered by setting the threshold

and the timing coarse synchronization is realized by using the improved delay autocorrelation algorithm. Next

the window summation method is used to reduce the estimation range of fine synchronization. Then

a combined differential correlation and MRC algorithm is used in the timing fine synchronization stage

which has 2 dB improvement compared with the previous method. The simulation shows that the synchronization performance of the proposed method is obviously superior to the traditional cross-correlation method.

关键词

多输入多输出电力线通信定时同步差分相关

Keywords

MIMOPLCtiming synchronizationdifferential correlation

references

Li Y, Zhang M, Zhu W, et al. Performance Evaluation for Medium Voltage MIMO-OFDM Power Line Communication System[J]. China Communications, 2020, 17(1): 151-162.

Mody A N, Stuber G L. Synchronization for MIMO OFDM Systems[C]//GLOBECOM'01. IEEE Global Telecommunications Conference. San Antonio, TX, USA: IEEE, 2002: 965169.

Zhang J, Tian L, Wang Y, et al. Selection Transmitting/Maximum Ratio Combining for Timing Synchronization of MIMO-OFDM Systems[J]. IEEE Transactions on Broadcasting, 2014, 60(4): 626-636.

Nasraoui L, Atallah L N, Siala M. Reduced-complexity Synchronization Technique for MIMO-OFDM WLAN Systems[C]//2015 5th International Conference on Communications and Networking. Tunis, Tunisia: IEEE, 2015: 7566635.

Singh S K, Rathkanthiwar A P, Gandhi A S. New Algorithm for Time and Frequency Synchronization in MIMO-OFDM Systems[J]. Wireless Personal Communications, 2017, 96(3): 3283-3295.

Beydoun A, Alaeddine H, Elmokdad H. New Fast Time Synchronization Method for MIMO-OFDM Systems[C]//2018 11th IFIP Wireless and Mobile Networking Conference (WMNC). Prague, Czech Republic: IEEE, 2018: 8480935.

Zimmermann M, Dostert K. A Multipath Model for the Powerline Channel[J]. IEEE Transactionss on Communications, 2002, 50(4): 553-559.

Berger L T, Schwager A, Pagani P, et al. MIMO Power Line Communications[J]. Communications Surveys & Tutorials, 2015, 17(1): 106-124.

李俊强. 电力线通信系统的定时同步研究[D]. 重庆: 重庆邮电大学, 2018.

Bai T, Zhang H M, Wang J J, et al. Fifty Years of Noise Modeling and Mitigation in Power-line Communications[J]. IEEE Communications Surveys & Tutorials, 2020, 23(1): 41-69.

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