Impulsive Noise Detection and Mitigation in OFDM-based Power-Line Communications

Filbert Hilman Juwono

Impulsive Noise Detection and Mitigation in OFDM-based Power-Line Communications

Filbert Hilman Juwono

Research output: Thesis › Doctoral Thesis

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Abstract

Impulsive noise is the major impairment in power-line communication (PLC) systems. This thesis focuses on improving performance of broadband PLC systems by proposing several impulsive noise detection and mitigation techniques, including deep clipping, linear combination of nonlinear pre-processors, joint nonlinear pre-processor and peak-to-average power ratio reduction, and sparsity based mitigation. Compared with alternative techniques in the literature, analytical and simulation results demonstrated that the proposed techniques can achieve much better performance, in terms of both Signal-to-Noise Ratio and Bit Error Rate.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	The University of Western Australia
Award date	9 Dec 2016
Publication status	Unpublished - 2016

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THESIS - DOCTOR OF PHILOSOPHY - JUWONO Filbert Hilman - 2016
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title = "Impulsive Noise Detection and Mitigation in OFDM-based Power-Line Communications",

abstract = "Impulsive noise is the major impairment in power-line communication (PLC) systems. This thesis focuses on improving performance of broadband PLC systems by proposing several impulsive noise detection and mitigation techniques, including deep clipping, linear combination of nonlinear pre-processors, joint nonlinear pre-processor and peak-to-average power ratio reduction, and sparsity based mitigation. Compared with alternative techniques in the literature, analytical and simulation results demonstrated that the proposed techniques can achieve much better performance, in terms of both Signal-to-Noise Ratio and Bit Error Rate. ",

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AB - Impulsive noise is the major impairment in power-line communication (PLC) systems. This thesis focuses on improving performance of broadband PLC systems by proposing several impulsive noise detection and mitigation techniques, including deep clipping, linear combination of nonlinear pre-processors, joint nonlinear pre-processor and peak-to-average power ratio reduction, and sparsity based mitigation. Compared with alternative techniques in the literature, analytical and simulation results demonstrated that the proposed techniques can achieve much better performance, in terms of both Signal-to-Noise Ratio and Bit Error Rate.

KW - power-line communications

KW - OFDM

KW - impulsive noise

KW - nonlinear preprocessor

KW - compressive sensing

M3 - Doctoral Thesis

ER -