Impulsive Noise Characterization in Narrowband Power Line Communication

Li Bai, Mauro Tucci, Sami Barmada, Marco Raugi and Tao Zheng
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Li Bai: DESTEC, University of Pisa, Pisa 56122, Italy
Mauro Tucci: DESTEC, University of Pisa, Pisa 56122, Italy
Sami Barmada: DESTEC, University of Pisa, Pisa 56122, Italy
Marco Raugi: DESTEC, University of Pisa, Pisa 56122, Italy
Tao Zheng: School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China

Energies, 2018, vol. 11, issue 4, 1-17

Abstract: Currently, narrowband Power line communication (PLC) is considered an attractive communication system in smart grid environments for applications such as advanced metering infrastructure (AMI). In this paper, we will present a comprehensive comparison and analysis in time and frequency domain of noise measured in China and Italy. In addition, impulsive noise in these two countries are mainly analyzed and modeled using two probability based models, Middleton Class A (MCA) model and ? stable distribution model. The results prove that noise measured in China is rich in impulsive noise, and can be modeled well by ? stable distribution model, while noise measured in Italy has less impulsive noise, and can be better modeled by the MCA model.

Keywords: narrowband PLC; impulsive noise; noise modeling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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