Impulsive noise characterization in narrowband power line communication

Li Bai; Mauro Tucci; Sami Barmada; Marco Raugi; Tao Zheng

doi:10.3390/en11040863

Impulsive noise characterization in narrowband power line communication

Li Bai, Mauro Tucci, Sami Barmada, Marco Raugi, Tao Zheng

Research output: Contribution to journal › Article › peer-review

15 Scopus citations

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 a stable distribution model. The results prove that noise measured in China is rich in impulsive noise, and can be modeled well by a stable distribution model, while noise measured in Italy has less impulsive noise, and can be better modeled by the MCA model.

Original language	English
Article number	863
Journal	Energies
Volume	11
Issue number	4
DOIs	https://doi.org/10.3390/en11040863
State	Published - Apr 2018
Externally published	Yes

Keywords

Impulsive noise
Narrowband PLC
Noise modeling

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10.3390/en11040863

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title = "Impulsive noise characterization in narrowband power line communication",

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 a stable distribution model. The results prove that noise measured in China is rich in impulsive noise, and can be modeled well by a stable distribution model, while noise measured in Italy has less impulsive noise, and can be better modeled by the MCA model.",

keywords = "Impulsive noise, Narrowband PLC, Noise modeling",

author = "Li Bai and Mauro Tucci and Sami Barmada and Marco Raugi and Tao Zheng",

note = "Funding Information: Acknowledgments: This work, including the publication costs, was supported by the University of Pisa under the PRA – Progetti di Ricerca di Ateneo, grant number PRA_2017_33. Publisher Copyright: {\textcopyright} 2018 by the authors. Licensee MDPI, Basel, Switzerland.",

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doi = "10.3390/en11040863",

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T1 - Impulsive noise characterization in narrowband power line communication

AU - Bai, Li

AU - Tucci, Mauro

AU - Barmada, Sami

AU - Raugi, Marco

AU - Zheng, Tao

N1 - Funding Information: Acknowledgments: This work, including the publication costs, was supported by the University of Pisa under the PRA – Progetti di Ricerca di Ateneo, grant number PRA_2017_33. Publisher Copyright: © 2018 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2018/4

Y1 - 2018/4

N2 - 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 a stable distribution model. The results prove that noise measured in China is rich in impulsive noise, and can be modeled well by a stable distribution model, while noise measured in Italy has less impulsive noise, and can be better modeled by the MCA model.

AB - 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 a stable distribution model. The results prove that noise measured in China is rich in impulsive noise, and can be modeled well by a stable distribution model, while noise measured in Italy has less impulsive noise, and can be better modeled by the MCA model.

KW - Impulsive noise

KW - Narrowband PLC

KW - Noise modeling

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VL - 11

JO - Energies

JF - Energies

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Impulsive noise characterization in narrowband power line communication

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Keywords

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