[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.7236/IJASC.2019.8.2.199

Study on Efficient Impulsive Noise Mitigation for Power Line Communication

Seo, Sung-Il (Department of Electrical Engineering, Honam University)

Publication Information

International journal of advanced smart convergence / v.8, no.2, 2019 , pp. 199-203 More about this Journal

Abstract

In this paper, we propose the efficient impulsive noise mitigation scheme for power line communication (PLC) systems in smart grid applications. The proposed scheme estimates the channel impulsive noise information of receiver by applying machine learning. Then, the estimated impulsive noise is updated in data base. In the modulator, the impulsive noise which reduces the PLC performance is effectively mitigated through proposed technique. As an impulsive noise model, Middleton Class A interference model was employed. The performance is evaluated in terms of bit error rate (BER). From the simulation results, it is confirmed that the proposed scheme has better BER performance compared to the conventional model. As a result, the proposed noise mitigation improves the signal quality of PLC systems by effectively removing the channel noise. The results of the paper can be applied to PLC systems for smart grid.

Keywords

Power Line Communication; Smart Grid System; Noise Mitigation; Impulsive Noise; Machine Learning;

Citations & Related Records

Times Cited By KSCI : 1 (Citation Analysis)

Reference
Cited By KSCI

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