针对电力线通信信道下脉冲噪声的鲁棒混沌传输系统优化设计综述

苗美媛; 田峰; 王琳; 代洲

doi:10.11999/JEIT231142

针对电力线通信信道下脉冲噪声的鲁棒混沌传输系统优化设计综述

doi: 10.11999/JEIT231142

苗美媛^{1, 4},
田峰¹,
王琳^2, ,,
代洲³

1.
南京邮电大学通信与信息工程学院南京 210003
2.
厦门大学信息学院厦门 361005
3.
贵州财经大学管理科学与工程学院贵阳 550025
4.
自然资源部东南沿海海洋信息智能感知与应用重点实验室漳州 363000

基金项目: 南京邮电大学自然科学启动资金(NY223019)，国家自然科学基金(62301277)，广东省促进经济发展专项资金(粤自然资合[2023]24号)，贵州省高等学校电力装备制造质量智能化评价与预警创新团队(黔教技[2023]064号)，自然资源部东南沿海海洋信息智能感知与应用重点实验室开发课题(23102)

详细信息

作者简介:
苗美媛：女，讲师，研究方向为混沌调制及编码调制，电力线通信

田峰：男，教授，博士生导师，研究方向为无线通信与网络优化，通信感知计算一体化

王琳：男，教授，博士生导师，研究方向为信息论与编码，数字通信理论

代洲：男，副教授、高级工程师、硕士生导师。研究方向为电力装备制造质量智能化评价与预警，电网供应链韧性、智慧仓储物流

通讯作者:
王琳　wanglin@xmu.edu.cn

中图分类号: TN911.3
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- 被引次数: 0
出版历程
- 收稿日期: 2023-10-19
- 修回日期: 2024-01-22
- 网络出版日期: 2024-01-29
- 刊出日期: 2024-05-30

Survey on Optimised Design of Robust Chaotic Transmission Systems for Impulsive Noise under Power Line Communication Channels

MIAO Meiyuan^{1, 4},
TIAN Feng¹,
WANG Lin^{2
, ,},
DAI Zhou³

1.
School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
2.
College of Information, Xiamen University, Xiamen 361005, China
3.
School of Management Science and Engineering, Guizhou University of Finance and Economics, Guiyang 550025, China
4.
Key Laboratory of Southeast Coast Marine Information Intelligent Percetion and Application, Zhangzhou 363000,China

Funds: The Natural Science Research Start-up Foundation of Recruiting Talents of Nanjing University of Posts and Telecommunications (NY223019), The National Natural Science Foundation of China (62301277), The Key Program of Marine Economy Development Special Foundation of Department of Natural Resources of Guangdong Province (GDNRC[2023]24), The Intelligent Evaluation and Early Warning Innovation Team for the Quality of Electric Power Equipment Manufacturing in Higher Education Institutions in Guizhou Province (QJJ[2023]064), The Key Laboratory of Southeast Coast Marine Information Intelligent Perception and Application, MNR (23102)

摘要

摘要: 随着用户的剧增，现有的无线资源已经难以为继。因此，电力线通信(PLC)的重新启用引起了各大研究单位及工业界的关注。PLC由于信道环境复杂，现有处理方案复杂度及成本较高，因而导致其发展缓慢。其中针对脉冲噪声的研究工作最为广泛，如何在低成本情况下针对脉冲噪声实现数据传输的鲁棒性尤为重要。该文首先介绍PLC环境中几种主流噪声以及分类，而后描述具有低成本低复杂度的差分混沌键控(DCSK)及多元DCSK(MDCSK)调制技术。分别介绍与分析该系统在PLC中的特性，以及针对各种脉冲噪声种类存在的优势以及改进方式。其次该文将介绍一些相关编码调制新方案以便于提高带限环境下的传输质量。结果表明这些优化工作显著地改善了系统性能，针对PLC整体信道特性系统参数的调制及编码调制传输优化方案将成为未来工作的研究热点。
- 差分混沌键控 /
- 电力线通信 /
- 脉冲噪声 /
- 编码调制.
Abstract: With the drastic increase in the number of users, the existing wireless resources have become unsustainable. Therefore, the reactivation of Power Line Communication (PLC) has attracted the attention of major research institutes and industries. The development of PLC has been slow due to the complexity of the channel environment and the complexity and high cost of existing processing solutions. The most extensive work has been done on impulse noise, and it is particularly important to achieve robustness of data transmission against impulse noise at low cost. Firstly, the mainstream noise in PLC environment and its classification are introduced in this paper, and then the Differential Chaos Shift Keying (DCSK) and M-ary DCSK (MDCSK) modulation techniques with low cost and low complexity are described. The characteristics of this system in PLCs are presented and analysed, as well as the advantages and improvements that exist for various types of impulse noise. Secondly, some relevant new coding and modulation schemes are introduced in order to improve the transmission quality in band-limited environments. The results show that these optimisations significantly improve the system performance. Subsequently, modulation and coded modulation transmission optimisation schemes for PLC overall channel characteristics system parameters will be a hot topic for future work.
- Differential Chaos Shift Keying (DCSK) /
- Power Line Communication (PLC) /
- Impulsive noise /
- Coded modulation.

HTML全文

图 1 多径PLC信道下BER性能比较

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图 2 RP-MDCSK与相关方案在异步脉冲噪声环境下的BER性能比较

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图 3 JPCM-DCSK与相关方案在Laplace脉冲噪声环境下的BER性能比较

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图 4 DC-BICM系统与码型优化方案性能比较

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图 5 BICM编码调制方案及其码型优化方案的性能比较

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1 PEXIT码型搜索算法

初始化：
设定预先设定相关参数,
设定 J(σ) = I(V_i;LLR)
设定 SNR
程序：
(1)计算作为输出外在MI的互信息；
(2)根据VDMM的置换模式，在变量节点的输入端设置MI；
(3)求得第j个VN→第i个CN的先验MI，并令其等于第j个VN→第i 　　个CN的外在MI；
(4)求得第i个 CN → j个VN的先验 MI，并令其等于第j个　　VN→第i个CN的外在MI；
(5)求得后验概率对数似然比的计算公式
(6)对于 i = 0, 1, ···, n，重复执行迭代过程步骤 (3)—步骤(5)，　　直到后验概率对数似然比为1。

下载: 导出CSV

表 1 不同抗击脉冲噪声方案的对比

抗击噪声方案	基本原理	优点	缺点
RP-MDCSK	利用冗余信息进行平滑滤波抗噪	系统实现相对简单，硬件成本较低	引入冗余信息，降低系统的能量效率和频谱效率
JPCM-DCSK	指标调制分散能量进行抗噪	实现方案成熟，易于移植	计算复杂度高，降低系统的能量效率和频谱效率
DC-BICM-IR	MyF滤波器、编码冗余信息、迭代接收抗噪	能够大幅度地提高系统的误码率性能	复杂度高，成本高，使用技术复杂
MDCSK-BICM	编码冗余信息，可变度匹配映射选择抗噪	硬件成本较低，低功耗	分析工具要求近似高斯

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