On impulse noise and its models

Thokozani Shongwe, A. J.Han Vinck, Hendrik C. Ferreira

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

82 Citations (Scopus)

Abstract

This article gives a discussion on impulse noise, its models and how it affects communications systems. We discuss the different impulse noise models in the literature, looking at their similarities and differences in communications systems. The impulse noise models discussed are memoryless (Middleton Class A and Bernoulli-Gaussian), and with memory (Markov- Middleton and Markov-Gaussian). We then go further to give performance comparisons in terms of bit error rates for some of the variants of impulse noise models. We also compare the bit error rate performance of single-carrier (SC) and multi-carrier (MC) communications systems operating under impulse noise. It can be seen that MC is not always better than SC under impulse noise. Lastly, the known impulse noise mitigation schemes (clipping/nulling using thresholds, iterative based and error control coding methods) are discussed.

Original languageEnglish
Title of host publicationIEEE ISPLC 2014 - 18th IEEE International Symposium on Power Line Communications and Its Applications
PublisherIEEE Computer Society
Pages12-17
Number of pages6
ISBN (Print)9781479949809
DOIs
Publication statusPublished - 2014
Event18th IEEE International Symposium on Power Line Communications and Its Applications, IEEE ISPLC 2014 - Glasgow, United Kingdom
Duration: 30 Mar 20142 Apr 2014

Publication series

NameIEEE ISPLC 2014 - 18th IEEE International Symposium on Power Line Communications and Its Applications

Conference

Conference18th IEEE International Symposium on Power Line Communications and Its Applications, IEEE ISPLC 2014
Country/TerritoryUnited Kingdom
CityGlasgow
Period30/03/142/04/14

Keywords

  • Bernoulli-Gaussian
  • Impulse noise models
  • Middleton Class A
  • Multi-carrier modulation
  • Single-carrier modulation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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