2018
DOI: 10.3390/en11040863
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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 α stable distribution model. … Show more

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Cited by 21 publications
(20 citation statements)
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“…The background noise and the narrowband noise are measured in the transformer substation and at the customer side in the frequency domain. Such results can be found in the literature for other countries [23,33,34]. However, in these articles, the narrowband noise is not characterized at the same frequency due to frequency variation of the broadcast station in each country.…”
Section: Discussionsupporting
confidence: 54%
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“…The background noise and the narrowband noise are measured in the transformer substation and at the customer side in the frequency domain. Such results can be found in the literature for other countries [23,33,34]. However, in these articles, the narrowband noise is not characterized at the same frequency due to frequency variation of the broadcast station in each country.…”
Section: Discussionsupporting
confidence: 54%
“…Comparing to the noise characterization, the temporal characteristics depend on the locations. For example, the same kind of information can be detected in the LV network in Italy, in Germany, in the USA and in China [32][33][34].…”
Section: Discussionmentioning
confidence: 99%
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“…The advantage of empirical models is to accurately reflect the characteristics of noise, but unfortunately they do not lend themselves to convenient performance analysis and system design, because often intractable functions have to be invoked for pursuing a high modeling accuracy. To overcome this hindrance, various simplified mathematical models have been proposed [65], [80], [101]- [121]. In this section, we briefly introduce the characteristic parameters of noise process in PLC, and then review both the empirical modeling and simplified mathematical modeling options, which are detailed below.…”
Section: Noise Modelingmentioning
confidence: 99%
“…In [18], an AR autoregressive model is established for low-voltage AC power line channel background noise, but AR models are not suitable for pulse-type noise analysis in photovoltaic array channels. Li et al measured the noise of AC power line channels in China and Italy, modeling the pulse-type noise in these two countries using two models, a Middleton Class A (MCA) model and a stable distribution model [19]. In [20], a Peak-Type Markov chain modeling method is proposed, which is suitable for the modeling of background noise and impulse noise, but there is still a certain gap between the model output and the original noise in the frequency domain characteristics obtained by simulation; In another study [21], a low-voltage power line background noise Wavelet-Markov chain modeling method was proposed.…”
Section: Introductionmentioning
confidence: 99%