1 Modeling research of background noise in low-voltage power line communication channel.pdf
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Modeling research of background noise in low-voltage power line
communication channel
Haokun Guo1, a, Junji Wu1,b and Zhanfeng Ying1,c
1 School of Energy and Power Engineering, Nanjing University of Science Technology, Nanjing,
Jiangsu, 210094, China
aghk1222@126.com, bwjj807@126.com, cyingzhanfeng@163.com
Keywords: low-voltage power line communication; background noise; AR model; singular value
decomposition; LD recursive method
Abstract. Background noise interference is one of the most important factors for low-voltage power
line communication’s reliability. By analyzing the background noise of low-voltage power line
communication’s channel, the background noise’s measuring circuit is set up and the AR model of
the measured background noise is established. Both of them are respectively using singular value
decomposition and Levinson-Durbin (LD) recursive method to calculate the AR model’s
parameters and a comparative analysis of the simulation is made. The results induct: parameters
acquired from the methods of singular value decomposition and LD recursive method are feasible,
the parameter model from singular value decomposition is relatively complex, but extremely
accurate, which is suitable for the off-line calculation and analysis of the low-voltage power line’s
background noise; the parameter model from LD recursive method is very simple, but has a greater
loss of accuracy, fitting for online quickly generation of the low-voltage power line’s background
noise.
Introduction
Low-voltage power network is the worlds most extensive distributed and most solid physical
network. Existed electricity networks and energy management systems are used to communicate,
provide cost-effective network services, and reduce the costs of the lines’ investment and
maintenance, which enables informational real-time two-way exchange between electricity supply
and consumers in the electricity market, establishing the technical support of the electricity mar
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