Power Line Communication Noise Research Articles

On the Mitigation of Impulsive Noise in Power-Line Communications With LT Codes

In this paper, we present a concatenated coding scheme that mitigates the effect of impulsive noise in orthogonal frequency-division multiplexing-based power-line communications (PLC) systems. What we propose is a novel technique that uses Luby transform (LT) codes as the outer scheme along with irregular low-density parity check (LDPC) codes as the inner code applied on the physical layer. The scheme fully exploits the features of LT codes and mitigates the impulsive noise effect even under high impulse level conditions. By introducing a small percentage of additional packets at the LT transmitter, the packets that are mostly affected by impulsive noise on the PLC channel are treated as erasures at the LT decoding procedure, thus resulting in a reduced error rate. In this innovative scheme, the receiver can identify the packets to be marked as erased even without channel state information, just by taking into account the properties of the inner LDPC code. Furthermore, we propose a method according to which the redundancy introduced by LT codes can be kept at low levels.

Two series of equitable symbol weight codes meeting the Plotkin bound

A $$q$$ q -ary code of length $$n$$ n is termed an equitable symbol weight code, if each symbol appears among the coordinates of every codeword either $$\lfloor n/q \rfloor $$ ? n / q ? or $$\lceil n/q \rceil $$ ? n / q ? times. This class of codes was proposed recently by Chee et al. in order to more precisely capture a code's performance against permanent narrowband noise in power line communication. In this paper, two series of new equitable symbol weight codes of optimal sizes meeting the Plotkin bound are constructed via combinatorial designs.

Control Quality of a Feedback Control System under Cyclostationary Noise in Power Line Communication

This paper discusses a control system that employs a power line to transfer signals to control the motion of a single machine, and explores the influence of packet losses on the quality of the control. As an example of a controlled system, a controller with a rotary inverted pendulum as a controlled object, is considered. The feedback loop in between is the power line. The control performance is evaluated in the power line cyclostationary noise environment and compared against the performance in a stationary noise environment. As a result, it is confirmed that the power line and its cyclostationary noise features present an advantage against transmission in a channel with stationary noise.

A Research on the Extraction and Interpretation of Power Line Communication Noise Pattern Using Genetic Algorithm

A PLC is more sensitive in noise than other wired communication system that is cable, DSL, and optical LAN. Therefore it considered as a crucial point in commercialization of PLC. For the commercialization of PLC, noise reduction and cancelation technique are needed. Therefore, it is definitely required to analyze and interpret the effects and types of the noise, exactly. The purpose of this work is to separate and extract the various noise of power line from data signals.

Time Series Analysis of Impulsive Noise in Power Line Communication (PLC) Networks

This paper proposes and discusses Autoregressive Moving Average (ARMA), Autoregressive Integrated Moving Average (ARIMA) and Seasonal Autoregressive Integrated Moving Average (SARIMA) time series models for broadband power line communication (PLC) networks with impulsive noise enviroment in the frequency range of 1 – 30 MHz. In time series modelling and analysis, time series models are fitted to the acquired time series describing the system for purposes which include simulation, forecasting, trend assessment, and a better understanding of the dynamics of the impulsive noise in PLC systems. Also, because the acquired impulsive noise measurement data are observations made over time, time series models constitute important statistical tools for use in solving the problem of impulsive noise modelling and forecasting in PLC. In fact, the time series and other statistical methods presented in numerous available literature draw upon research developments from two areas of environmetrics called stochastic hydrology and statistical water quality modelling as well as research contributions from the field of statistics. In time series modelling and analysis, we determine the most appropriate stochastic or time series model to fit our acquired data set at the confirmatory data analysis stage. No matter what type of stochastic model is to be fitted to the data set, we follow the identification, estimation, and diagnostic check stages of model construction. In addition, we explore the resulting autocorrelation functions in estimating the parameters of the selected time series models. Finally, SARIMA model is found suitable for computer-based PLC systems simulations and forecasting based on the diagnostic checks.