TY - GEN
T1 - Time-Frequency Energy Spectral Analysis of Broadband PLC Channel Impulsive Noise
AU - Awino, Steven O.
AU - Afullo, Thomas J.O.
AU - Mosalaosi, Modisa
AU - Akuon, Peter O.
N1 - Funding Information:
This work was partially supported by the School of Engineering, University of KwaZulu Natal and NRF-Kenya.
Publisher Copyright:
© 2019 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2019/9
Y1 - 2019/9
N2 - 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.
AB - 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.
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U2 - 10.1109/AFRICON46755.2019.9133930
DO - 10.1109/AFRICON46755.2019.9133930
M3 - Conference contribution
AN - SCOPUS:85088387233
T3 - IEEE AFRICON Conference
BT - IEEE AFRICON 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE AFRICON, AFRICON 2019
Y2 - 25 September 2019 through 27 September 2019
ER -