Investigation on Ways to Mitigate the Combination of Impulsive Noise and Narrowband Noise within a Single Channel

Abiola G. Bolaji, Thokozani Shongwe

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

1 Citation (Scopus)

Abstract

Impulsive (IN) noise and Narrowband (NBI) noise are the noise types that are majorly known to affect the performance of a Powerline Communication (PLC) channel extensively. Remarkable work has been done to model the noise types individually; as a result they have been mostly dealt with or addressed individually in a channel not as a combination. This paper serves to explore the conventional mitigation methods and the behavioral results of simulated signal in relation to either noise type, IN or NBI. The performance of the Matlab simulated system is viewed as a plot of Symbol Error Rate (SER) against Signal to Noise Ratio (SNR). The modulation scheme used is Binary Phase Shifting (BPSK) scheme whose demodulation was Hard Decision based.

Original languageEnglish
Title of host publication2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781538630600
DOIs
Publication statusPublished - 13 Sept 2018
Event2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018 - Durban, South Africa
Duration: 6 Aug 20187 Aug 2018

Publication series

Name2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018

Conference

Conference2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018
Country/TerritorySouth Africa
CityDurban
Period6/08/187/08/18

Keywords

  • BPSK-OFDM
  • Impulsive Noise
  • Mixture
  • Narrowband Interference
  • Noise Mitigation
  • Single Channel

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management
  • Computer Networks and Communications
  • Artificial Intelligence

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