International journal of advanced smart convergence

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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Study on Efficient Impulsive Noise Mitigation for Power Line Communication

  • Seo, Sung-Il (Department of Electrical Engineering, Honam University)
  • Received : 2019.06.02
  • Accepted : 2019.06.12
  • Published : 2019.06.30
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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

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Figure 1. PLC home network

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Figure 2. Multipath noise model

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Figure 3. Block diagram of proposed PLC Systems

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Figure 4. Performance of the coded-PLC system employing noise mitigation

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