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Efficient Signal Detection Based on Artificial Intelligence for Power Line Communication Systems  

Kim, Do Kyun (광운대학교 전자융합공학과 유비쿼터스 통신 연구실)
Hwang, Yu Min (광운대학교 전자융합공학과 유비쿼터스 통신 연구실)
Sim, Issac (광운대학교 전자융합공학과 유비쿼터스 통신 연구실)
Kim, Jin Young (광운대학교 전자융합공학과 유비쿼터스 통신 연구실)
Publication Information
Journal of Satellite, Information and Communications / v.12, no.2, 2017 , pp. 42-45 More about this Journal
Abstract
It is known that power line communication systems have more noise than general wired communication systems due to the high voltage that flows in power line cables, and the noise causes a serious performance degradation. In order to mitigate performance degradation due to such noise, this paper proposes an artificial intelligence algorithm based on polynomial regression, which detects signals in the impulse noise environment in the power line communication system. The polynomial regression method is used to predict the original transmitted signal from the impulse noise signal. Simulation results show that the signal detection performance in the impulse noise environment of the power line communication is improved through the artificial intelligence algorithm proposed in this paper.
Keywords
Power line communications; Artificial intelligence; Polynomial regression; Neural network; Impulse noise;
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