Time-varying channel characterization based on SVM under the impulsive noise presence

The purpose of this work is to present an off-line technique for characterization of time-varying power line communications channels in the presence of additive impulsive noise when they are used for broadband data transmission. We propose and analyze a channel estimation technique based on Support Vector Machine (SVM). Simulation results reveal that the proposed method is more robust to impulsive noise and has better convergence rate for time-varying channels when compared to classic techniques like least squares (LS).