TY - GEN
T1 - Broadband analysis and characterization of noise for in-door power-line communication channels
AU - Mosalaosi, M.
AU - Afullo, Thomas J.O.
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2014
Y1 - 2014
N2 - Powerline communication (PLC) has emerged as an alternative solution for connectivity at home and offices in recent times [1]. Its development for multimedia broadband applications thus requires an extensive knowledge of the major peculiarities which influences communication over this channel. PLC channels are susceptible to noise inherent in power networks, leading to performance degradation. In this work, we have set-up a measurement system designed to capture the noise both in frequency and time domain for real power networks. The main observable components of the indoor PLC noise are: background noise, impulsive noise, and narrowband interferences. The impulsive components of PLC noise are observed to be time variant, random in nature, have high power spectral density (PSD) and lasts for very small time durations. A greater portion of the impulsive noise has cyclostationary behaviour, though with different amplitudes and widths. The repetition rates of these impulses are synchronous with the mains harmonics of 50 Hz and 100 Hz, the supply frequency in South Africa. Others have irregular occurrences and much higher repetition rates; hence they are unpredictable in nature. This noise is referred to as asynchronous impulsive noise [2]. These noise terms are key design parameters for modulation schemes in broadband PLC, popularly orthogonal frequency division multiplexing (OFDM), with its conventional receivers assuming additive white Gaussian noise (AWGN) [3]. The time variability of PLC noise is presented alongside its statistical analysis based on a series of measurements performed on numerous powerline scenarios. The relevance of this time variance is evaluated in actual channels. The significant difference in amplitudes of the impulsive noise is observed and characterized statistically. The PSD for both the background and impulsive noise is presented. Finally, we present the results of the noise PSD captured with a parametric model and compare our results with findings from other parts of the world.
AB - Powerline communication (PLC) has emerged as an alternative solution for connectivity at home and offices in recent times [1]. Its development for multimedia broadband applications thus requires an extensive knowledge of the major peculiarities which influences communication over this channel. PLC channels are susceptible to noise inherent in power networks, leading to performance degradation. In this work, we have set-up a measurement system designed to capture the noise both in frequency and time domain for real power networks. The main observable components of the indoor PLC noise are: background noise, impulsive noise, and narrowband interferences. The impulsive components of PLC noise are observed to be time variant, random in nature, have high power spectral density (PSD) and lasts for very small time durations. A greater portion of the impulsive noise has cyclostationary behaviour, though with different amplitudes and widths. The repetition rates of these impulses are synchronous with the mains harmonics of 50 Hz and 100 Hz, the supply frequency in South Africa. Others have irregular occurrences and much higher repetition rates; hence they are unpredictable in nature. This noise is referred to as asynchronous impulsive noise [2]. These noise terms are key design parameters for modulation schemes in broadband PLC, popularly orthogonal frequency division multiplexing (OFDM), with its conventional receivers assuming additive white Gaussian noise (AWGN) [3]. The time variability of PLC noise is presented alongside its statistical analysis based on a series of measurements performed on numerous powerline scenarios. The relevance of this time variance is evaluated in actual channels. The significant difference in amplitudes of the impulsive noise is observed and characterized statistically. The PSD for both the background and impulsive noise is presented. Finally, we present the results of the noise PSD captured with a parametric model and compare our results with findings from other parts of the world.
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M3 - Conference contribution
AN - SCOPUS:84911072296
T3 - Progress in Electromagnetics Research Symposium
SP - 719
EP - 723
BT - Progress in Electromagnetics Research Symposium
PB - Electromagnetics Academy
T2 - Progress in Electromagnetics Research Symposium, PIERS 2014
Y2 - 25 August 2014 through 28 August 2014
ER -