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Lookup NU author(s): Ghanim Al-Rubaye, Dr Martin JohnstonORCiD, Professor Harris Tsimenidis
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© 2018 IEEE. Impulsive noise (IN) can significantly degrade the performance of multi-carrier based communication systems. In order to improve the performance of such systems, conventional IN suppression methods have been proposed to process the signal in the time domain. However, attention has recently focused on using methods implemented in the Frequency Domain (FD). In general, the aim of IN frequency domain estimation schemes is to consider noise samples whose amplitudes are below a fixed threshold as Gaussian distributed noise and therefore are blanked (nulled). In contrast to existing work, this paper presents a novel optimal threshold calculation method to improve the IN frequency domain mitigation methods. The system adopt in this paper is the G.fast standard which uses high order QAM constellations over copper channels. The derived optimum threshold is used in an IN compensation method based on the relationship between two parameters, namely, impulsive Index A and the noise ratio Γ. In order to validate the effectiveness of the proposed scheme, its performance is compared with that of the conventional FD mitigation method which uses a fixed threshold. The impact of both the impulsive Index A and the noise ratio Γ on the DMT-based G.fast copper channel is also discussed in detail. Results show that the proposed method considerably outperforms conventional frequency domain IN mitigation schemes.
Author(s): Al-Neami I, Al-Rubaye GA, Johnston M, Tsimenidis C
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 2018 11th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2018
Year of Conference: 2018
Online publication date: 27/09/2018
Acceptance date: 18/07/2018
Publisher: IEEE
URL: https://doi.org/10.1109/CSNDSP.2018.8471862
DOI: 10.1109/CSNDSP.2018.8471862
Library holdings: Search Newcastle University Library for this item
ISBN: 9781538613351
