基于稀疏贝叶斯学习的电力线载波通信接收机设计
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。...
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Published in | 电信科学 Vol. 33; no. 9; pp. 92 - 99 |
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Main Authors | , , |
Format | Journal Article |
Language | Chinese |
Published |
中国通信学会
01.09.2017
人民邮电出版社有限公司 浙江工商职业技术学院,浙江宁波315012%宁波大学信息科学与工程学院,浙江宁波,315211 宁波大学信息科学与工程学院,浙江宁波315211 |
Subjects | |
Online Access | Get full text |
ISSN | 1000-0801 |
DOI | 10.11959/j.issn.1000-0801.2017196 |
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Abstract | 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。 |
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AbstractList | TN913; 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. 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。 |
Abstract_FL | 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. |
Author | 吕新荣 余明宸 李有明 |
AuthorAffiliation | 宁波大学信息科学与工程学院,浙江宁波315211;浙江工商职业技术学院,浙江宁波315012%宁波大学信息科学与工程学院,浙江宁波,315211 |
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Author_FL | LV Xinrong YU Mingchen LI Youming |
Author_FL_xml | – sequence: 1 fullname: LV Xinrong – sequence: 2 fullname: LI Youming – sequence: 3 fullname: YU Mingchen |
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DocumentTitle_FL | Design of transceivers based on sparse Bayesian learning for power line carrier communications |
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Keywords | 稀疏贝叶斯学习 脉冲噪声 信道估计 正交频分复用 电力线载波通信 power line carrier communication channel estimation orthogonal frequency division multiplexing impulsive noise sparse Bayesian learning |
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