Time-Frequency Energy Spectral Analysis of Broadband PLC Channel Impulsive Noise

Steven O. Awino, Thomas J.O. Afullo, Modisa Mosalaosi, Peter O. Akuon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this work, we introduce the field of time-frequency (t, f) spectral analysis for energy spectral analysis of Power Line Communication (PLC) impulsive noise. This analysis is done in the broadband frequency range of 1-30 MHz. (t, f) spectral analysis concerns the analysis and processing of signals with time-varying frequency content. PLC impulsive noise being such a signal is best represented by a time-frequency representation (TFR) through a time-frequency distribution (TFD). This is intended to show how the energy of the signal is distributed over the two-dimensional (t, f) space. As such, this will allow exploitation of the features produced by the concentration of signal energy in two dimensions (time and frequency) instead of only one (time or frequency). This analysis is based on measurement data collected from the University of KwaZulu-Natal.

Original languageEnglish
Title of host publicationIEEE AFRICON 2019
Subtitle of host publicationPowering Africa's Sustainable Energy for All Agenda: The Role of ICT and Engineering, AFRICON 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728132891
DOIs
Publication statusPublished - Sep 2019
Externally publishedYes
Event2019 IEEE AFRICON, AFRICON 2019 - Accra, Ghana
Duration: Sep 25 2019Sep 27 2019

Publication series

NameIEEE AFRICON Conference
Volume2019-September
ISSN (Print)2153-0025
ISSN (Electronic)2153-0033

Conference

Conference2019 IEEE AFRICON, AFRICON 2019
Country/TerritoryGhana
CityAccra
Period9/25/199/27/19

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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