Iterative hard thresholding based impulsive noise suppression method in power line communication system

Mingchen YU; Youming LI; Caimei FU; Guili ZHOU

doi:10.11959/j.issn.1000-0801.2016277

您当前的位置：

首页 >

文章列表页 >

Iterative hard thresholding based impulsive noise suppression method in power line communication system

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

- Iterative hard thresholding based impulsive noise suppression method in power line communication system
- Telecommunications Science Vol. 32, Issue 11, Pages: 101-106(2016)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2016277
  CLC： TN913
- Published Online：2016-11，
  
  Published：20 November 2016
- 稿件说明：
移动端阅览
Mingchen YU, Youming LI, Caimei FU, et al. Iterative hard thresholding based impulsive noise suppression method in power line communication system[J]. Telecommunications science, 2016, 32(11): 101-106.
DOI：

Mingchen YU, Youming LI, Caimei FU, et al. Iterative hard thresholding based impulsive noise suppression method in power line communication system[J]. Telecommunications science, 2016, 32(11): 101-106. DOI： 10.11959/j.issn.1000-0801.2016277.

摘要

在电力线载波通信系统中，由于脉冲噪声的存在，系统性能会受到严重影响。考虑到脉冲噪声在时域上具有稀疏性，基于压缩感知的脉冲噪声估计方法被广泛采用。提出了一种基于硬阈值迭代的压缩感知方法来估计脉冲噪声。该方法通过迭代求解更新阈值，然后利用阈值函数对脉冲噪声进行估计，最后在接收信号中减去脉冲噪声的估计值，完成对脉冲噪声的抑制。仿真结果表明，该方法能够准确估计脉冲噪声幅值点，同时在均方误差与估计信噪比的性能上都有提高。

Abstract

The performance of power line communication systems is seriously affected by impulsive noise.The compressed sensing theory has been applied for estimation in view of the sparse property of impulsive noise in the time domain.A compressed sensing method based on the iterative hard thresholding was proposed to estimate the impulsive noise.Firstly

the thresholding value was updatedby iteration

and then the thresholding function was used to estimate the impulsive noise.Finally

the impulsive noise was cancelled by subtracting the estimation value from the received signal.Simulation results show that the proposed method can efficiently estimate the impulsive noise and promote the performance bothinmean square error and signal to noise ratio.

关键词

Keywords

references

YOON S G , JANG S , KIM Y H , et al . Opportunistic routing for smart grid with power line communication access networks [J ] . IEEE Transactions on Smart Grid , 2014 , 5 ( 1 ): 303 - 311 .

FERREIRA H C , LAMPE L , NEWBURY J , et al . Power line communication-theory and applications for narrowband and broadband communications over power lines [M ] . Beijing:Press of China Electric Power , 2014 : 55 - 59 .

NASSAR M , LIN J , MORTAZAVI Y , et al . Local utility power line communications in the 3-500 kHz band:channel impairments,noise,and standards [J ] . Optics Express , 2012 , 29 ( 5 ): 116 - 127 .

张强 . 宽带电力线通信中脉冲噪声消除算法及其VLSI实现 [D ] . 上海：复旦大学， 2013 .

ZHANG Q . The mitigation algorithm of impulsive noise in broadband powerline communication system and its VLSI implementation [D ] . Shanghai:Fudan University , 2013 .

NASSAR M , GULATI K , MORTAZAVI Y , et al . Statistical modeling of asynchronous impulsive noise in powerline communication networks [C ] // Global Telecommunications Conference , December 5 - 9 , 2011 , Houston,TX,USA . New Jersey : IEEE Press , 2011 : 1 - 6 .

RABIE K M , ALSUSA E . MC-CDMA transmission with blanking nonlinearity for impulsive noise power-line communication channels [C ] // IEEE Vehicular Technology Conference , May 11 - 14 , 2015 , Glasgow,USA . New Jersey : IEEE Press , 2015 : 1 - 5 .

LIU J , PANDE T , KIM I H , et al . Time-frequency modulation diversity to combat periodic impulsive noise in narrowband powerline communications [J ] . IEEE Transactions on Communications , 2015 , 63 ( 5 ): 1 - 10 .

RABIE K M , ALSUSA E . Performance analysis of adaptive hybrid nonlinear preprocessors for impulsive noise mitigation over power-line channels [C ] // IEEE International Conference on Communications , June 8 - 12 , 2015 , London,UK . New Jersey : IEEE Press , 2015 : 728 - 733 .

ZHIDKOV S V . Analysis and comparison of several simple impulsive noise mitigation schemes for OFDM receivers [J ] . IEEE Transactions on Communications , 2008 , 56 ( 1 ): 5 - 9 .

LIN J , NASSAR M , EVANS B L . Non-parametric impulsive noise mitigation in OFDM systems using sparse bayesianlearning [C ] // Global Telecommunications Conference , December 5 - 9 , 2011 , Houston,TX,USA . New Jersey : IEEE Press , 2011 : 1 - 5 .

DAUBECHIES I , DEFRISE W , MOL C D . An iterative thresholding algorithm for linear inverse problems with a sparsity constraint [J ] . Communications on Pure＆Applied Mathematics , 2003 , 57 ( 11 ): 1413 - 1457 .

THEIS F J , JUNG A , PUNTONET C G , et al . Signal recovery from partial information via orthogonal matching pursuit [J ] . IEEE Transactions on Information Theory , 2007 , 53 ( 12 ): 4655 - 4666 .

ALNAFFOURI T Y , QUADEER A A , CAIRE G . Impulse noise estimation and removal for OFDM systems [J ] . IEEE Transactions on Communications , 2014 , 62 ( 3 ): 976 - 989 .

LAMPE L . Burstyimpulsenoisedetectionbycompressedsensing [C ] // IEEE International Symposium on Power Line Communications and its Applications , April 3 - 6 , 2011 , Udine,USA . New Jersey : IEEE Press , 2011 : 29 - 34 .

JUWONO F H , GUO Q , HUANG D , et al . Impulsive noise detection in PLC with smoothed L0-norm [C ] // IEEE International Conference on Acoustics,Speech and Signal Processing , April 19 - 24 , 2015 , South Brisbane,QLD,USA . New Jersey : IEEE Press , 2015 : 3232 - 3236 .

OLLILA E , HYON-JUNG KIM , KOIVUNEN V . Robust iterative hard thresholding for compressed sensing [C ] // IEEE International Symposium on Communications,Control and Signal Processing , May 21 - 23 , 2014 , Athens,Hellenic Republic . New Jersey : IEEE Press , 2014 : 226 - 229 .

HUNTER D R , LANGE K . A tutorial on MM algorithms [J ] . American Statistician , 2010 , 58 ( 1 ): 30 - 37 .

BLUMENSATH T , DAVIES M E . Iterative thresholding for sparse approximations [J ] . Journal of Fourier Analysis＆Applications , 2008 , 14 ( 5 ): 629 - 654 .

XU Z , CHANG X , XU F . L1/2 regularization:a thresholding representation theory and a fast solver [J ] . IEEE Transactions on Neural Networks＆Learning Systems , 2012 , 23 ( 7 ): 1013 - 27 .

Views

561

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Receiver design of sparse Bayesian learning based MIMO-OFDM power line communication system

A power line channel estimation mechanism based on compressed sensing

Design method of energy efficiency optimization in PLC-RF wireless transmission networks

Anti-collision online early warning method for construction machinery around transmission line

A reduced-complexity compressed sensing channel estimation for underwater acoustic channel

Related Author

Xinrong LYU

Youming LI

Yongqing WU

Xiaobo TANG

Yeshen HE

Kun LIANG

Haoxin CHENG

Yueyu JIANG

Related Institution

Ningbo Aux HighTech Co.Ltd

University of Chinese Academy of Science

Institute of Acoustics, Chinese Academy of Science

Faculty of Information Science and Engineering, Ningbo University

College of Science ＆Technology, Ningbo University

⁰