Statistical Modeling of Periodic Impulsive Noise in Indoor Power-Line Channels

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

Broadband system models based on Zadeh's representation for indoor powerline channels: An experimental validation

“…5. The small differences between these figures can be related to the fact that the quality of the estimateĤ(t m ; f l ) is affected by the presence of severe impulsive noise (synchronous to the mains; see [14]). The accuracy of our model is also confirmed by Fig.…”

Cyclostationarity: New trends and applications

“…Further applications are in the following subjects: capacity evaluation of second-order cyclostationary complex Gaussian noise channels [140], orthogonal overlay channels [371], and power line communication channels [319], timing and other signal parameter estimation [101,134,137,168,224,229,236,246,278,317,334], source separation [16,44,106,169], frequency-domain equalizer (FDE) design [374], blind multiple-input multiple-output (MIMO) system identification [299], signal power (SNR), and signal-to-interference-and-noise ratio (SINR) estimation [8,147,294], Doppler spread estimation [376], microDoppler estimation [214], noise modeling in power lines [130,182,318], and radio frequency interference (RFI) mitigation in radio astronomy [145].…”

The Impact of Statistical Noise Modeling on the Error-Rate Performance of OFDM Power-Line Communications

“…Various research results available in the technical literature are evidence that the properties of the noise affecting indoor power-line channels are usually very different from those encountered in their wireless counterparts. In fact, noise is not usually stationary [5]- [11], white [12]- [16], and Gaussian [17]- [20], and should be represented as the superposition of distinct components, characterized by different statistical features. Despite the apparent complexity of noise modeling, various attempts have been made to develop simplified parametric statistical models for this channel impairment.…”

“…Despite the apparent complexity of noise modeling, various attempts have been made to develop simplified parametric statistical models for this channel impairment. In particular, cyclostationary models, based on adapting the instantaneous power spectral density (PSD) of channel noise to experimental measurements, have been proposed in [5]- [12], [15], [16]. Other contributions in this research field have aimed at providing an accurate characterization of the probability density function (PDF) of the impulsive component of powerline noise [13], [18]- [20].…”