Statistical Modeling of Periodic Impulsive Noise in Indoor Power-Line Channels
Gianaroli, Fabio × Pancaldi, Fabrizio Sironi, Enrico Vigilante, Marco Giorgio Matteo, Vitetta Barbieri, Alessandro #
Institute of Electrical and Electronics Engineers
IEEE Transactions on Power Delivery vol:23 issue:3 pages:1276-1283
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.