α稳定脉冲噪声下宽带电力线通信系统性能分析

杨帆; 贾辉; 刘宝树; 龙柯宇

doi:10.11999/JEIT180261

α稳定脉冲噪声下宽带电力线通信系统性能分析

doi: 10.11999/JEIT180261

杨帆^1, ,,
贾辉¹,
刘宝树²,
龙柯宇²

1.
电子科技大学信息与通信工程学院成都 611731)
2.
中国民用航空总局第二研究所成都 610041

基金项目: 民航联合研究基金(U1633129)，四川省科技计划项目(2019YFG0119)，中央高校基本科研业务费项目(ZYGX2016J009)

详细信息

作者简介:
杨帆：男，1982年生，副教授，硕士生导师，研究方向为无线移动通信、电力线载波通信、5G关键技术等

贾辉：男，1988年生，硕士生，研究方向为无线移动通信

刘宝树：男，1964年生，副研究员，研究方向为计算机应用技术

龙柯宇：男，1981年生，副研究员，研究方向为信号与信息处理、高速数字信号处理

通讯作者:
杨帆　yangf_byr@uestc.edu.cn

中图分类号: TN92
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出版历程
- 收稿日期: 2018-03-21
- 修回日期: 2019-03-24
- 网络出版日期: 2019-04-03
- 刊出日期: 2019-06-01

Performance Analysis of Broadband Power-line Communications Systems Under the Alpha-stable Impulsive Noise

Fan YANG^{1
, ,},
Hui JIA¹,
Baoshu LIU²,
Keyu LONG²

1.
School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
2.
The Second Research Institute of CAAC, Chengdu 610041, China

Funds: The Civil Aviation Joint Research Fund (U1633129), The Sichuan Science and Technology Program (2019YFG0119), The Fundamental Research Funds for the Central Universities (ZYGX2016J009)

摘要

摘要: 基于宽带电力线通信(PLC)中，高斯分布的背景噪声往往不能如实反应人类日常用电活动产生的噪声特性，为此，该文提出用对称${\alpha}$稳定(S$\alpha$S)分布对PLC背景噪声进行建模，研究基于正交频分复用(OFDM)系统误符号率(SER)的解析性能，并指出在S$\alpha$S背景噪声的情况下，对接收到的复基带S$\alpha$S噪声样值进行快速傅里叶变换(FFT)后，信号的实部和虚部仍然服从单变量的S$\alpha$S分布，且由于S$\alpha$S背景噪声占用了整个OFDM系统的频带，系统的误符号率性能随着FFT点数增加而产生恶化。
- 电力线通信 /
- 对称a稳定分布 /
- 正交频分复用 /
- 几何功率
Abstract: In broadband Power-Line Communications (PLC), the background noise commonly assumed as Gaussian may not truly depict the effect of the human activities on noise characteristics. Symmetric Alpha-Stable (S$\alpha$S) process is used to model the PLC background noise, obtaining analytical expressions, and the analytical Symbol Error Rate (SER) performance is investigated for Orthogonal Frequency Division Multiplexing (OFDM)-based PLC systems. The analysis shows that the real or the imaginary component after the Fast Fourier Transform (FFT) of the received complex baseband S$\alpha$S noise samples follows univariate S$\alpha$S distribution. Due to the fact that the S$\alpha$S background noise occupies the whole OFDM system bandwidth, the SER performance of the system decreases as the employed FFT size grows.
- Symmetric Alpha-Stable (SaS) distribution /
- Orthogonal Frequency Division Multiplexing (OFDM) /
- Power-Line Communication (PLC) /
- Geometric power

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图 1 ${\rm{S\alpha S}}$背景噪声与高斯噪声功率对比

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图 2 QPSK信号在${\rm{S\alpha S}}$噪声下的SER性能对比

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图 3 MQAM信号在${\rm{S\alpha S}}$噪声下的SER性能对比

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图 4 不同FFT点数的OFDM系统SER性能对比

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