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Title: Performance of Analog Nonlinear Filtering for Impulsive Noise Mitigation in OFDM-based PLC Systems
Authors: Barazideh, Reza
Natarajan, Balasubramaniam
Nikitin, Alexei V.
Davidchack, Ruslan L.
First Published: 28-Dec-2017
Presented at: 2017 IEEE 9th Latin-American Conference on Communications (LATINCOM), Guatemala City, Guatemala
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: 2017 IEEE 9th Latin-American Conference on Communications (LATINCOM), 2017
Abstract: Asynchronous and cyclostationary impulsive noise can severely impact the bit-error-rate (BER) of OFDM-based powerline communication systems. In this paper, we analyze an adaptive nonlinear analog front end filter that mitigates various types of impulsive noise without detrimental effects such as self-interference and out-of-band power leakage caused by other nonlinear approaches like clipping and blanking. Our proposed Adaptive Nonlinear Differential Limiter (ANDL) is constructed from a linear analog filter by applying a feedback-based nonlinearity, controlled by a single resolution parameter. We present a simple practical method to find the value of this resolution parameter that ensures the mitigation of impulsive without impacting the desired OFDM signal. Unlike many prior approaches for impulsive noise mitigation that assume a statistical noise model, ANDL is blind to the exact nature of the noise distribution, and is designed to be fully compatible with existing linear front end filters. We demonstrate the potency of ANDL by simulating the OFDM-based narrowband PLC compliant with the IEEE standards. We show that the proposed ANDL outperforms other approaches in reducing the BER in impulsive noise environments.
DOI Link: 10.1109/LATINCOM.2017.8240158
ISBN: 978-1-5386-2097-7
Version: Post-print
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2017, IEEE. Deposited with reference to the publisher’s open access archiving policy. (
Appears in Collections:Conference Papers & Presentations, Dept. of Mathematics

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