Impulsive Noise Cancellation in Multicarrier Transmission

Abdelkefi, Fatma; Duhamel, Pierre; Alberge, Florence

doi:10.1109/tcomm.2004.840628

Cited by 89 publications

(34 citation statements)

References 26 publications

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“…When the propagation channel is contaminated by such noise, an OFDM system performs better than a single carrier system because of its time-diversity [10]. The performance can be further improved by estimating impulsive noise terms on a frequency domain and subtracting them from the equalizer output [11], or by incorporating error-correcting-type codes for canceling impulsive noise [12]. However, when there is a frequency-selective fading in the channel, reliable detection of symbols carried by the faded subcarriers becomes difficult.…”

Section: Impulsive Noise Analysismentioning

confidence: 99%

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A Block Transmission Method for Converting a Non-Gaussian Channel into Parallel Gaussian Noise Channels

Murakami¹

2013

IJCCE

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Abstract-In many communication systems, information carrying symbols are transmitted in blocks with guard intervals between blocks for avoiding inter-block interference. This paper proposes a block transmission system that can be decomposed into a set of parallel subblock transmission systems having additive white Gaussian noise (AWGN) channels with equal noise powers even when the channel additive noise is non-Gaussian. The block transmission system has the advantages that standard signal design, block codes, and symbol detection methods for an AWGN channel are easily incorporated into the block transmission system and that the system is easily implemented by FFT processors.

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Section: Impulsive Noise Analysismentioning

confidence: 99%

“…, and  is a random variable that is either zero or one [10], [12]. The probability of =1 is denoted by p  .…”

mentioning

confidence: 99%

A Block Transmission Method for Converting a Non-Gaussian Channel into Parallel Gaussian Noise Channels

Murakami¹

2013

IJCCE

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“…Marshall [12] has shown that a conventional decoding algorithm for finite field cyclic codes could be employed for real and complex numbers. Taking the OFDM scheme as an illustration example, it was proved in Reference [6] that the OFDM modulator can be seen as a complex RS code: the basic remark that has been used in Reference [7] is that a discrete sequence of complex numbers containing 2t consecutive zeros are transmitted over the OFDM system, therefore, the output of the OFDM modulator can be considered as an RS code word. After transmission over a channel, the DFT of the received discrete time sequence can no longer have 2t zeros, and this is due only to the channel.…”

Section: The Complex Reed-solomon Codementioning

confidence: 99%

“…Pilot tones consist of known symbols that are scattered among the information ones. Hence, we can use them for performing impulse noise correction, if we can obtain some flexibility in the possible locations of the pilot tones [6,8].…”

Section: The Complex Reed-solomon Codementioning

confidence: 99%

“…DFT codes). It follows that the techniques used in References [6][7][8] can be used to correct quantisation or round-off errors. The crucial idea of this work is the following: as the CGU frame can be seen as an RS coder then a virtual RS coding scheme can be exploited to establish some specific errors canceler rather than using any further channel coder.…”

Section: Introductionmentioning

confidence: 99%

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CGU‐frame‐based representations and their connection with Reed—Solomon and DCT/DST coding schemes

Abdelkefi

2008

Trans Emerging Tel Tech

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SUMMARYWe investigate the use of overcomplete frame representations to correct errors occurring over burst-based transmission channels or channels leading to isolated errors. We show that when the overcomplete signal representation is based on a class of frames, called cyclic geometrically uniform (CGU) finite frames, the family of frames containing finite harmonic frames (both in C M and R M ), this representation becomes equivalent to a Reed-Solomon (RS) coding scheme. Hence, introducing an RS decoding procedure at the receiver, leads to remove the errors introduced by the transmission channel and consequently results in a quasi-perfect reconstructed signal. The advantage of this approach is to exploit the RS coding scheme without using it explicitly at the transmitter, which would lead to a robust and low complexity transmission. Furthermore, we prove that the discrete cosine transform (DCT) coding is a special case of CGU-framebased representations and this property holds also true for the discrete sine transform (DST) coding scheme.Simulation results are presented to confirm our claims.

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Broadband and Narrow‐Band Noise Modeling in Powerline Communications

Shongwe

Ferreira

Vinck

2015

Wiley Encyclopedia of Electrical and Electronics Engineering

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This article gives an overview of noise modeling of the two most problematic types of noise in powerline communications (PLC), namely, impulse noise (broadband noise) and frequency disturbers (narrow‐band interference (NBI)). The models for these two types of noise are studied for orthogonal frequency‐division multiplexing (OFDM) systems. The first part of the article looks at several impulse noise models in the literature. A demonstration of the effects of impulse noise on OFDM, using the Middleton Class A model, is given. Methods of combating impulse noise are also studied. In the second part, of the article, we focus on narrow‐band interference modeling and also show how NBI affects OFDM systems. The main focus of NBI is on presenting a detailed NBI model because NBI modeling has not been given much attention in the literature. In our discussion of the NBI model, we show that, with some assumptions, the NBI model and the Middleton Class A model can be similar.

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Impulsive Noise Cancellation in Multicarrier Transmission

Cited by 89 publications

References 26 publications

A Block Transmission Method for Converting a Non-Gaussian Channel into Parallel Gaussian Noise Channels

A Block Transmission Method for Converting a Non-Gaussian Channel into Parallel Gaussian Noise Channels

CGU‐frame‐based representations and their connection with Reed—Solomon and DCT/DST coding schemes

Broadband and Narrow‐Band Noise Modeling in Powerline Communications

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