A power line channel estimation mechanism based on compressed sensing

Yeshen HE; Kun LIANG

doi:10.11959/j.issn.1000-0801.2016278

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A power line channel estimation mechanism based on compressed sensing

research and development | 更新时间：2024-06-05

- A power line channel estimation mechanism based on compressed sensing
- Telecommunications Science Vol. 32, Issue 11, Pages: 77-81(2016)
- 作者机构：
  
  1. 深圳市国电科技通信有限公司，广东深圳 518031
  2. 天津科技大学计算机科学与信息工程学院，天津 300222
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2016278
  CLC： TN913
- Published Online：2016-11，
  
  Published：20 November 2016
- 稿件说明：
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Yeshen HE, Kun LIANG. A power line channel estimation mechanism based on compressed sensing[J]. Telecommunications science, 2016, 32(11): 77-81.
DOI：

Yeshen HE, Kun LIANG. A power line channel estimation mechanism based on compressed sensing[J]. Telecommunications science, 2016, 32(11): 77-81. DOI： 10.11959/j.issn.1000-0801.2016278.

摘要

通过分析电力线信道传输特性，建立相应的数学模型，研究了电力线信道的多径特性，并结合一种新颖的压缩感知处理技术，提出了一种基于压缩感知的电力线信道估计方法。通过分析研究电力线信道传输特征，利用其稀疏性，只需采集、提取、存储少量的噪声与信道特征有效参数，大大降低了数字信号处理模块的数据处理量，降低了对存储硬件的要求与硬件成本。

Abstract

Through the analysis of power line channel characteristics

the corresponding mathematical model was established

the multipath channel characteristics of power line were studied.Combined with a novel compressed sensing and processing technology

a channel estimation method of power line based on compressed sensing was proposed.The transmission characteristics of power line channel were analyzed.Taking advantage of its sparse

only a small amount of noise and channel parameters needed to be collected

extracted and stored

which greatly reduced the digital signal processing module of data processing

and the storage hardware requirements and hardware costs were reduced.

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Keywords

references

张银昌 . 基于电力线载波与无线网络结合的通讯技术在用电信息采集系统的应用研究 [J ] . 新疆电力技术， 2015 ( 1 ): 65 - 67 .

ZHANG Y C . The communication technology in information acquisition system based on power line carrier and wireless network [J ] . Xinjiang Electric Power Technology , 2015 ( 1 ): 65 - 67 .

张捷 . 低压电力线载波通信信道特性研究 [J ] . 成都：电子科技大学， 2013 .

ZHANG J . Research on channel characteristics of low voltage power line carrier communication [J ] . Chengdu:University of Electronic Science and Technology of China , 2013 .

黄朋飞，谢涛，刘爱莲，等 . 典型通信频率的低压电力线通信噪声特性研究 [J ] . 郑州轻工业学院学报：自然科学版， 2014 ( 2 ): 53 - 57 .

HUANG P F , XIE T , LIU A L , et al . Research on the noise characteristics of typical communication frequency in low-voltage power line communication [J ] . Journal of Zhengzhou University of Light Industry（Natural Science Edition） , 2014 ( 2 ): 53 - 57 .

许盛，易浩勇，汪晓岩 . 中压电力线信道性能的自动测量技术 [J ] . 电力系统通信， 2010 , 31 ( 1 ): 52 - 54 .

XU S , YI H Y , WANG X Y . Automatic measurement technology of medium voltage power line channel [J ] . Telecommunications for Electronic Power System , 2010 , 31 ( 1 ): 52 - 54 .

COPE L D , MOLLENKOPF J D , KLINE P A , et al . Power line communication apparatus and method of using the same:US 7245212 B2 [P ] . 2007 - 12 - 11 .

LIU S , GUO B , LI H , et al . Power-line communication channel characteristics under transient model [J ] . IEEE Transactions on Power Delivery , 2014 , 29 ( 4 ): 1701 - 1708 .

张轩 . 低压电力线正交频分复用系统信道估计技术研究 [D ] . 秦皇岛：燕山大学， 2015 .

ZHANG X . Channel estimation of orthogonal frequency division multiplexing system for low voltage power line [D ] . Qinghuangdao:Yanshan University , 2015

杨延辉 . 电力线OFDM系统信道估计技术研究 [D ] . 秦皇岛：燕山大学， 2015 .

YANG Y H . Research on channel estimation based on OFDM of low-volatage power line [D ] . Qinghuangdao:Yanshan University , 2015 .

兰巨龙，邢池强，胡宇翔，等 . 可重构技术与未来网络体系架构 [J ] . 电信科学， 2013 , 29 ( 8 ): 16 - 23 .

GE J B . Research on reconstruction algorithms and application based on compressed sensing [D ] . Guangzhou:South China University of Technology , 2015 .

TROPP J A , GILBERT A C . Signal recovery from random measurements via orthogonal matching pursuit:the Gaussian case [J ] . IEEE Transactions on Information Theory , 2008 , 53 ( 12 ): 4655 - 4666 .

TRALIC D , GRGIC S . Signal reconstruction via compressive sensing [C ] // ELMAR 2011 , Sept 14 - 16 , 2011 , Zadar,Croatia . New Jersey : IEEE Press , 2011 : 5 - 9 .

樊昌信，曹丽娜， . 通信原理（第7版） [M ] . 北京 : 国防工业出版社， 2012 .

FAN C X , CAO L N . Communication theory [M ] . Beijing : National Defence Industry Press , 2012 .

ZIMMERMANN M , DOSTERT K . A multipath model for the powerline channel [J ] . IEEE Transactions on Communications , 2002 , 50 ( 4 ): 553 - 559 .

马强，陈启美，李勃，等 . 跻身未来的电力线通信（二）电力线信道分析及模型 [J ] . 电力系统自动化， 2003 , 27 ( 4 ): 72 - 76 .

MA Q , CHEN Q M , LI B , et al . Predictive schemes for future power line communication part two PLC channel analysis and model [J ] . Automation of Electric Power Syetems , 2003 , 27 ( 4 ): 72 - 76 .

郭昊坤，衡思坤，应展烽，等 . 低压电力线通信信道特性研究综述 [J ] . 电力系统通信， 2012 , 33 ( 4 ): 1 - 5 .

GUO H K , HENG S K , YING Z F . Survey of the characteristics of low-voltage power line communication channel [J ] . Telecommunications for Electric Power System , 2012 , 33 ( 4 ): 1 - 5 .

赖征田 . 电力线载波信道特性研究及仿真 [J ] . 电力系统通信， 2010 , 31 ( 216 ): 39 - 42 .

LAI Z T . Channel characteristics analysis and simulation of power line carrier communication system [J ] . Telecommunications for Electric Power System , 2010 , 31 ( 216 ): 39 - 42 .

REUVEN I . Power line communication method and apparatus:EP2453583A2 [P ] . 2014 - 04 - 24 .

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