Optimal Estimation of Power Line Communication Channel Based on Bayesian learning Theory in the Presence of Impulsive Noise

Authors

Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

Abstract

Power line communication (PLC) channel as a medium for high speed data communication transmission based on orthogonal frequency division multiplexing (OFDM) is considered. It is an environment with frequency selective and multipath fading features which has been contaminated by impulsive noise. These deficiencies in power line communications degrade the accuracy of channel estimation. In this article, an efficient channel estimation method based on Bayesian inference is presented. A new proposed kernel function with proper hyper-parameters in relevance vector machine (RVM) is used to estimate the PLC channel impulse response. It is shown that bit error rate (BER) and mean square error (MSE) in proposed method, are significantly decreased. Proposed channel estimation algorithm achieves good results respected to reported approaches as Huang channel estimation method.

Keywords

References

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TABRIZ JOURNAL OF ELECTRICAL ENGINEERING
Volume 48, Issue 4 - Serial Number 86
February 2018
Pages 1451-1460

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