Title :
Statistical Modeling of Periodic Impulsive Noise in Indoor Power-Line Channels
Author :
Gianaroli, Fabio ; Pancaldi, Fabrizio ; Sironi, Enrico ; Vigilante, Marco ; Vitetta, Giorgio Matteo ; Barbieri, Alessandro
Author_Institution :
Dept. of Inf. Eng., Univ. of Modena & Reggio Emilia, Modena, Italy
fDate :
7/1/2012 12:00:00 AM
Abstract :
In this paper, novel statistical models for the representation of the periodic impulsive noise generated by power loads connected to power grids in indoor scenarios are developed. Their derivation is based on a set of experimental results acquired in a measurement campaign and on deseasonalized autoregressive moving average modeling of cyclostationary random processes. Numerical results are evidence that the proposed models can provide an accurate stochastic representation of the periodic impulsive noise generated by specific appliances in the 1-30 MHz band, at the price of limited computational complexity.
Keywords :
autoregressive moving average processes; carrier transmission on power lines; computational complexity; power grids; stochastic processes; computational complexity; cyclostationary random processes; deseasonalized autoregressive moving average modeling; frequency 1 MHz to 30 MHz; indoor power-line channels; periodic impulsive noise; power grids; power loads; statistical models; stochastic representation; Autoregressive processes; Computational modeling; Correlation; Home appliances; Mathematical model; Noise; Numerical models; Autoregressive moving average (ARMA) process; cyclostationary noise; periodic impulsive noise; power-line communications; statistical noise modeling;
Journal_Title :
Power Delivery, IEEE Transactions on
DOI :
10.1109/TPWRD.2012.2188910
