基于稀疏贝叶斯学习的电力线载波通信接收机设计

doi:10.11959/j.issn.1000-0801.2017196

电信科学 ›› 2017, Vol. 33 ›› Issue (9): 92-99.doi: 10.11959/j.issn.1000-0801.2017196

基于稀疏贝叶斯学习的电力线载波通信接收机设计

吕新荣^1,²,李有明¹(),余明宸¹

¹ 宁波大学信息科学与工程学院，浙江宁波 315211
² 浙江工商职业技术学院，浙江宁波 315012

修回日期:2017-06-07 出版日期:2017-09-01 发布日期:2017-09-11
作者简介:吕新荣（1976-），男，宁波大学信息科学与工程学院博士生，主要研究方向为电力线通信、稀疏信号处理、压缩感知。|李有明（1963-），男，宁波大学信息科学与工程学院教授、博士生导师，主要研究方向为宽带通信、电力线通信、协作中继、认知无线电等。|余明宸（1991-），男，宁波大学信息科学与工程学院硕士生，主要研究方向为电力线通信系统脉冲干扰。
基金资助:
国家自然科学基金资助项目(61571250);宁波市自然科学基金资助项目(2015A610121)

Design of transceivers based on sparse Bayesian learning for power line carrier communications

Xinrong LV^1,²,Youming LI¹(),Mingchen YU¹

¹ College of Information Science and Engineering,Ningbo University,Ningbo 315211,China
² Zhejiang Business ＆Technology Institute,Ningbo 315012,China

Revised:2017-06-07 Online:2017-09-01 Published:2017-09-11
Supported by:
The National Natural Science Foundation of China(61571250);Ningbo Natural Science Foundation of China(2015A610121)

摘要/Abstract

摘要：

针对多径信道和脉冲噪声对电力线载波通信系统性能影响的问题，提出了一种能有效对抗多径信道和脉冲噪声影响的电力线通信系统接收机设计方案。该方案将时域上的电力线信道参数和脉冲噪声联合视作稀疏向量，然后利用稀疏贝叶斯理论联合估计电力线信道和脉冲噪声，从而在接收端得以去除脉冲噪声及补偿信道增益。仿真结果表明，与传统将信道估计与脉冲噪声抑制单独考虑的传统接收机相比，本文提出的接收机方案在误符号率和误比特率等性能指标上有较好的提升。

关键词: 电力线载波通信, 信道估计, 脉冲噪声, 稀疏贝叶斯学习, 正交频分复用

Abstract:

Aiming at the problem of the influence of multipath channel and impulse noise on the performance of power line carrier communication system,a transceiver scheme for power line communication system was proposed which could effectively combat the influence of multipath channel and impulse noise.Firstly,the power line channel impulse response and the impulsive noise in the time domain were jointly viewed as a sparse vector.Then,the sparse Bayesian learning theory was adopted to estimate the power line channel and impulse noise jointly.The impulse noise was removed and the channel gain was compensated at the receiver.The simulation result shows that the proposed receiver scheme has better performance than traditional receiver considering channel estimation and impulse noise suppression separately.

Key words: power line carrier communication, channel estimation, impulsive noise, sparse Bayesian learning

中图分类号:

TN913

吕新荣,李有明,余明宸. 基于稀疏贝叶斯学习的电力线载波通信接收机设计[J]. 电信科学, 2017, 33(9): 92-99.

Xinrong LV,Youming LI,Mingchen YU. Design of transceivers based on sparse Bayesian learning for power line carrier communications[J]. Telecommunications Science, 2017, 33(9): 92-99.

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参考文献 17

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基于稀疏贝叶斯学习的电力线载波通信接收机设计

Design of transceivers based on sparse Bayesian learning for power line carrier communications

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