Adaptive noise mitigation based on peak estimate and feedback compensation in power line communication

Zhou-wen TAN; Hong-li LIU; Jie ZHAN; Zi-ji MA; Shu-gang LIU

doi:10.11959/j.issn.1000-436x.2017283

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Adaptive noise mitigation based on peak estimate and feedback compensation in power line communication

Papers | 更新时间：2024-06-05

- Adaptive noise mitigation based on peak estimate and feedback compensation in power line communication
- Journal on Communications Vol. 38, Issue 12, Pages: 86-97(2017)
- 作者机构：
  
  1. 湖南大学电气与信息工程学院，湖南长沙 410082
  2. 湖南科技大学物电学院，湖南湘潭 411201
- 作者简介：
- 基金信息：
  
  The Fundamental Research Funds for the Central Universities(61771191);The Fundamental Research Funds for the Central Universities(61540012);The National Natural Science Foundation of China(1053214004);The Natural Science Foundation of Hunan Province(2017JJ2052);The Natural Science Foundation of Hunan Province(2015JJ2060);Teaching Reform Project of Hunan Ordinary colleges and Universities(201601004010);Ministry of Education Cooperative Education Project(XJT2016-400)
- DOI：10.11959/j.issn.1000-436x.2017283
  CLC： TP911，TM73
- Online First：2017-12，
  
  Published：25 December 2017
- 稿件说明：
移动端阅览
Zhou-wen TAN, Hong-li LIU, Jie ZHAN, et al. Adaptive noise mitigation based on peak estimate and feedback compensation in power line communication[J]. Journal on Communications, 2017, 38(12): 86-97.
DOI：

Zhou-wen TAN, Hong-li LIU, Jie ZHAN, et al. Adaptive noise mitigation based on peak estimate and feedback compensation in power line communication[J]. Journal on Communications, 2017, 38(12): 86-97. DOI： 10.11959/j.issn.1000-436x.2017283.

摘要

针对传统消隐限幅门限依赖于噪声特征参数及门限偏差较大的问题，提出一种基于峰值估计和反馈补偿的自适应电力线噪声抑制（ANMPEFC）算法。采用SLM映射预处理方法降低发射信号PAPR，提出利用峰值信息对接收信号进行脉冲频率估计的方法，建立了峰值频率与脉冲特征之间的关系，根据估计脉冲频率对接收信号自适应选择峰值消隐和反馈补偿方法进行处理，在门限偏差条件下对提出算法与现有算法性能进行了分析。结果表明，所提噪声抑制算法能应用于未知噪声特征的电力线脉冲噪声环境中，性能优于现有的脉冲噪声抑制算法。

Abstract

According to the problem that the threshold for traditional blanking depends on the characteristic parameters of noise and exist large deviation，an adaptive noise mitigation algorithm based on peak estimate and feedback compensation(ANMPEFC)in power line communication was proposed.First，SLM mapping preprocessing method was employed to reduce the PAPR of emission signal，peak information was used to estimate the frequency of the received signal and the relationship between peak frequency and impulse characteristics was established.Next，received signal was processed by blanking block and feedback compensation block adaptively according to estimated pulse frequency.Finally， performance of proposed algorithm and existing algorithms were analyzed based on threshold deviation.According to the results from simulation，it is clearly demonstrated that the proposed ANMPEFC can work in power line impulse noise environment without knowing the noise characteristics and has better performance in contrast to existing impulse noise suppression algorithm.

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references

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