协同调制识别算法在电力线通信网络中的设计与实现

doi:10.19678/j.issn.1000-3428.0051934

计算机工程 ›› 2019, Vol. 45 ›› Issue (8): 159-164.doi: 10.19678/j.issn.1000-3428.0051934

协同调制识别算法在电力线通信网络中的设计与实现

石刘强, 石顾禹, 杨明, 钱玉文

南京理工大学电子工程与光电技术学院, 南京 210094

收稿日期:2018-06-27 修回日期:2018-08-13 出版日期:2019-08-15 发布日期:2019-08-08
作者简介:石刘强(1991-),男,硕士研究生,主研方向为电力线通信、物联网;石顾禹、杨明,硕士研究生;钱玉文(通信作者),讲师。
基金项目:
国家自然科学基金（61602245）。

Design and Implementation of Cooperative Modulation Recognition Algorithm in Power Line Communication Network

SHI Liuqiang, SHI Guyu, YANG Ming, QIAN Yuwen

School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China

Received:2018-06-27 Revised:2018-08-13 Online:2019-08-15 Published:2019-08-08

摘要/Abstract

摘要： 电力线通信（PLC）是物联网、智能电网中重要的通信方式。然而，当有新节点接入PLC网络时，无法正确识别PLC网络中具体的调制方式，从而导致接入失败。为此，通过构建多输入多输出（MIMO）的PLC系统模型，提出一种基于PLC-MIMO结构的协同调制识别方法，以实现新节点自动接入PLC网络。采用多节点的发送信号四阶累积量作为识别器的特征参数，结合极大似然的判决规则进行协同识别，同时引入权重因子，设计一种改进协同调制识别算法来提高正确识别率。仿真结果表明，与一般协同识别算法相比，该算法正确识别率提高6%，具有更好的识别性能，可适用于PLC传感网络系统。

关键词: 物联网, 智能电网, 电力线通信, 多输入多输出, 自动接入, 调制识别

Abstract: Power Line Communication(PLC) is an important communication mode for the internet of things and smart grids.However,the new nodes cannot recognize the specific modulation mode used in PLC networks when try to access the networks,which causes the failure of accessing.Therefore,by constructing the PLC Multiple Input and Multiple Output(MIMO) system model,a cooperative modulation recognition method based on PLC-MIMO structure is proposed for new nodes to access PLC networks automatically.The fourth-order cumulants using the signal transmitted from multiple nodes are taken as the feature parameters,and the decision rule of the maximum likelihood is involved to execute cooperative recognition.At the same time,an improved cooperative modulation recognition algorithm is designed to improve the correct recognition rate.Simulation results show that compared with the single node recognition algorithm and the general collaborative recognition algorithm,the correct recognition rate of the algorithm is improved by 16% and 6% respectively,which has better recognition performance and is suitable for PLC sensor network system.

Key words: Internet of Things(IoT), smart grid, Power Line Communications(PLC), Multiple Input and Multiple Output(MIMO), automatic accessing, modulation recognition

中图分类号:

TP391

石刘强, 石顾禹, 杨明, 钱玉文. 协同调制识别算法在电力线通信网络中的设计与实现[J]. 计算机工程, 2019, 45(8): 159-164.

SHI Liuqiang, SHI Guyu, YANG Ming, QIAN Yuwen. Design and Implementation of Cooperative Modulation Recognition Algorithm in Power Line Communication Network[J]. Computer Engineering, 2019, 45(8): 159-164.

参考文献 15

[1]	LI L,OTA K,DONG M.When weather matters:IoT-based electrical load forecasting for smart grid[J].IEEE Communications Magazine,2017,5(10):46-51.
[2]	潘煜晨,张龙祥,闵昊.一种基于OFDM的低压窄带电力线通信基带系统[J].复旦大学学报,2016,55(2):158-165.
[3]	CARBONARO K B,CARRIJO G A.Performance analysis of M-QAM/OFDM systems for PLC under Gaussiano and impulsive noise[J].IEEE Latin America Transactions,2016,14(1):109-114.
[4]	刘克中,陈巍博,占真,等.无线传感网络节点定位中的导标动态移动策略[J].计算机研究与发展,2012,49(11):2494-2500.
[5]	可飞龙,卓智海,汪毓铎.基于高阶统计量和星座图的通信制式识别研究[J].电脑与电信,2017(9):1-4.
[6]	孙汝峰,刘顺兰.基于高阶累积量和谱分析的数字调制信号识别[J].微型机与应用,2016,35(4):76-79.
[7]	张博.典型信号特征提取与模式识别研究[D].北京:北京邮电大学,2016.
[8]	HOSSEINZADEH H.Tracking performance of large margin classifier in automatic modulation classification with a software radio environment[J].Journal of Systems Engineering and Electronics,2014,25(5):735-741.
[9]	段皓宇,李鸥,胡赟鹏,等.基于无线传感器网络的多节点调制识别方法[J].计算机工程,2012,38(16):89-92.
[10]	ABENOV R,POKAMESTOV D,GELTSER A.Multipath power line communications channel modelling[C]//Proceedings of International Conference on Communications,Antennas and Electronic Systems.Washington D.C.,USA:IEEE Press,2015:1-4.
[11]	ZHUANG Yifei,LAMPE L.Physical layer security in MIMO power line communication networks[C]//Proceedings of International Symposium on Power Line Communications and Its Applications.Washington D.C.,USA:IEEE Press,2014:272-277.
[12]	DUBEY A,MALLIK R K,SCHOBER R.Performance analysis of a PLC system employing selection combining in correlated log-normal channels and impulsive noise[J].IET Communications,2014,8(7):1072-1082.
[13]	何世彪,张青,韩彦净,等.OFDM同步与信道估计研究及FPGA实现[J].计算机工程,2013,39(5):288-292.
[14]	HUANG Sai,YAO Yuanyuan,WEI Zhiqing,et al.Automatic modulation classification of overlapped sources using multiple cumulants[J].IEEE Transactions on Vehicular Technology,2017,59(17):111-132.
[15]	QIAN Yuwen,YAN Jiahui,GUANG Haibing,et al.Design of hybrid wireless and power line sensor networks with dual-Interface relay in IoT[J].IEEE Internet of Things Journal,2017(99):1.

协同调制识别算法在电力线通信网络中的设计与实现

Design and Implementation of Cooperative Modulation Recognition Algorithm in Power Line Communication Network

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献 15

相关文章 15

Metrics

本文评价

推荐阅读 10

[1]	金叶奇, 徐佑宇, 郑敏, 谭冲, 王虹. 基于动态分组的M2M上行优先级调度算法[J]. 计算机工程, 2019, 45(8): 129-134.
[2]	龙向阳, 姚建国. 用于大规模MIMO系统的SAGE迭代信道估计算法[J]. 计算机工程, 2019, 45(8): 141-145.
[3]	马礼,张涛,马东超,傅颖勋. 基于Markov模型的接入网络选择算法[J]. 计算机工程, 2019, 45(5): 105-109,115.
[4]	朱国晖,陈星. 一种大规模MIMO系统的低复杂度预编码算法[J]. 计算机工程, 2019, 45(3): 96-100.
[5]	陶亚男,张军朝,王青文,张俊虎. 基于改进猫群算法的物联网感知层路由优化策略[J]. 计算机工程, 2019, 45(2): 13-17.
[6]	陈可可, 赵赛, 唐冬. SWIPT MIMO全双工系统中的物理层安全通信优化方法[J]. 计算机工程, 2019, 45(12): 109-113.
[7]	李实, 石顾禹, 钱玉文. 基于缓存机制的能耗最小化电力线通信网络设计[J]. 计算机工程, 2019, 45(11): 91-96.
[8]	邓雨欣, 唐彰国, 张健, 李焕洲. 基于MQTT协议命令分组编码的隐蔽信道研究[J]. 计算机工程, 2019, 45(11): 138-143.
[9]	倪国英,覃锡忠,贾振红,牛红梅,王哲辉. 基于认知MIMO网络的资源分配方法[J]. 计算机工程, 2018, 44(8): 86-92,99.
[10]	谈玲. 一种智能电网中基于优先充电机制的节能汇聚路由方案[J]. 计算机工程, 2018, 44(8): 285-290.
[11]	李民政,李艳峰. 大规模MIMO系统中基于迫零预编码的能效优化算法[J]. 计算机工程, 2018, 44(7): 121-125,130.
[12]	陈发堂,龙云波,王与凡. 低复杂度的空间调制信号检测 [J]. 计算机工程, 2018, 44(3): 99-102,108.
[13]	赵翔,魏天伟. 一种适用于MIMO多路中继信道的Lattice编码方案 [J]. 计算机工程, 2018, 44(2): 92-97,102.
[14]	王炜,徐凌泽,周语宁,潘鹏. MIMO干扰信道中基于非线性预编码的收发机设计[J]. 计算机工程, 2018, 44(10): 136-140.
[15]	陆晓静,宋玉蓉. 基于边移除的智能电网级联故障鲁棒性分析[J]. 计算机工程, 2018, 44(1): 292-298,305.