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An analysis of the broadband noise scenario in powerline networks

TLDR
In this article, the powerline channel does not represent an additive white Gaussian noise (AWGN) environment; in the frequency range from some hundred kilohertz up to 20 MHz it is mostly dominated by narrow-band interference and impulsive noise.
Abstract
Opposite to many other communication channels the powerline channel does not represent an additive white Gaussian noise (AWGN) environment; in the frequency range from some hundred kilohertz up to 20 MHz it is mostly dominated by narrow-band interference and impulsive noise. After a basic classification of the different types of noise the properties of background noise and narrow-band interference are discussed. Spectral analysis and time domain analysis of impulse noise gives some figures of the power spectral density as well as distributions of L noise f , I impulse noise ; J , . . .

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Citations
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Journal ArticleDOI

Power line communications

A. Majumder, +1 more
- 18 Oct 2004 - 
TL;DR: In this article, the performance of power lines for high bit rate applications is studied. But, the authors focus on the power line communication, which is originally devised to transmit electric power from a small number of sources to a large number of sinks, and the first data transmission were primarily done only to protect sections of the power distribution system in case of faults.
MonographDOI

Broadband powerline communications networks : network design

TL;DR: PLC MAC Layer Characteristics, Performance Evaluation of Reservation MAC Protocols and Realization of PLC Access Systems.

Microgrids - Large Scale Integration of Microgeneration to Low Voltage Grids

TL;DR: In this article, the authors present selected research findings of the EU funded MICROGRIDS project (Contract ENK-CT-2002-00610), including the development and enhancement of microsource controllers to support frequency and voltage based on droops.
Journal ArticleDOI

Impulsive Noise Mitigation in Powerline Communications Using Sparse Bayesian Learning

TL;DR: Three iterative algorithms with different complexity vs. performance trade-offs are proposed to mitigate asynchronous impulsive noise, exploit its sparsity in the time domain, and apply sparse Bayesian learning methods to estimate and subtract the noise impulses.
Journal ArticleDOI

Power line communications for smart grid applications

TL;DR: This paper surveys power line communications (PLCs) in the context of Smart Grid and the specifications G3-PLC, PRIME, HomePlug Green PHY, and HomePlug AV2, and the standards IEEE 1901/1901.hn/G.hnem are discussed.
References
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Journal ArticleDOI

A simplex method for function minimization

TL;DR: A method is described for the minimization of a function of n variables, which depends on the comparison of function values at the (n 41) vertices of a general simplex, followed by the replacement of the vertex with the highest value by another point.

Digital spectral analysis with applications

TL;DR: In this article, a broad perspective of spectral estimation techniques and their implementation is provided, focusing on spectral estimation of discretespace sequences derived by sampling continuous space signals, including parametric methods, minimum variance method, eigenanalysis-based estimators, multichannel methods, and twodimensional methods.
Journal ArticleDOI

A binary channel characterization using partitioned Markov chains

TL;DR: In this paper, the error-free run and error-cluster distributions are derived for binary communication channels using functions of finite-state Markov chains, and a simple class of models is investigated and shown experimentally to be capable of representing HF radio statistics.
Book

A binary channel characterization using partitioned Markov chains with applications to error correction codes

TL;DR: A simple class of models is investigated and shown experimentally to be capable of representing HF radio statistics.
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