Suppression of Impulsive Noise in Power Line Communication using Weighted FastICA

In this paper, a weighted blind source separation (BSS) method is developed to eliminate α -stable distribution impulsive noise in the power line communication (PLC). In this work, a weighted independent component analysis(ICA) is conceived to construct determined ICA model from a single channel observation. This operation can achieve the advantages of low complexity blind separation work and exempting channel parameter estimation. The system noise model is described by the transmission characteristic of power line. Simulation experiments show that the proposed ICA algorithm can effectively achieve noise elimination, and guarantee the practical communication requirements.

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