The Channel Compressive Sensing Estimation for Power Line Based on OMP Algorithm

The Channel Compressive Sensing Estimation for Power Line Based on OMP Algorithm

Power line communication (PLC) can collect information by power line which increases the coverage and connectivity of the smart grid. In this paper, we analyze the transmission characteristics of the power line channel and model it with mathematics channel. The multipath effect of the power line cha...

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Main Authors: Yiying Zhang, Kun Liang, Yeshen He, Yannian Wu, Xin Hu, Lili Sun
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Journal of Electrical and Computer Engineering
Online Access:http://dx.doi.org/10.1155/2017/2483586
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spelling doaj-9ebcbc281ce54a779cfb6dc153ac498d2021-07-02T01:02:57ZengHindawi LimitedJournal of Electrical and Computer Engineering2090-01472090-01552017-01-01201710.1155/2017/24835862483586The Channel Compressive Sensing Estimation for Power Line Based on OMP AlgorithmYiying Zhang0Kun Liang1Yeshen He2Yannian Wu3Xin Hu4Lili Sun5College of Computer Science and Information Engineering, Tianjin University of Science & Technology, Tianjin, ChinaCollege of Computer Science and Information Engineering, Tianjin University of Science & Technology, Tianjin, ChinaChina Gridcom Co., Ltd, Shenzhen, Guangdong, ChinaChina Gridcom Co., Ltd, Shenzhen, Guangdong, ChinaChina Gridcom Co., Ltd, Shenzhen, Guangdong, ChinaChina Gridcom Co., Ltd, Shenzhen, Guangdong, ChinaPower line communication (PLC) can collect information by power line which increases the coverage and connectivity of the smart grid. In this paper, we analyze the transmission characteristics of the power line channel and model it with mathematics channel. The multipath effect of the power line channel is studied with a novel technology named compressive sensing herein. We also proposed a new method to the power line channel estimation based on compressive sensing. We can collect and extract the effective parameters of the power line channel to storage, which only take very little storage space. The simulation results show that the proposed approach can reduce the amount of processing data in the digital signal processing module and decrease the requirement for the hardware.http://dx.doi.org/10.1155/2017/2483586
collection DOAJ
language English
format Article
sources DOAJ
author Yiying Zhang
Kun Liang
Yeshen He
Yannian Wu
Xin Hu
Lili Sun
spellingShingle Yiying Zhang
Kun Liang
Yeshen He
Yannian Wu
Xin Hu
Lili Sun
The Channel Compressive Sensing Estimation for Power Line Based on OMP Algorithm
Journal of Electrical and Computer Engineering
author_facet Yiying Zhang
Kun Liang
Yeshen He
Yannian Wu
Xin Hu
Lili Sun
author_sort Yiying Zhang
title The Channel Compressive Sensing Estimation for Power Line Based on OMP Algorithm
title_short The Channel Compressive Sensing Estimation for Power Line Based on OMP Algorithm
title_full The Channel Compressive Sensing Estimation for Power Line Based on OMP Algorithm
title_fullStr The Channel Compressive Sensing Estimation for Power Line Based on OMP Algorithm
title_full_unstemmed The Channel Compressive Sensing Estimation for Power Line Based on OMP Algorithm
title_sort channel compressive sensing estimation for power line based on omp algorithm
publisher Hindawi Limited
series Journal of Electrical and Computer Engineering
issn 2090-0147
2090-0155
publishDate 2017-01-01
description Power line communication (PLC) can collect information by power line which increases the coverage and connectivity of the smart grid. In this paper, we analyze the transmission characteristics of the power line channel and model it with mathematics channel. The multipath effect of the power line channel is studied with a novel technology named compressive sensing herein. We also proposed a new method to the power line channel estimation based on compressive sensing. We can collect and extract the effective parameters of the power line channel to storage, which only take very little storage space. The simulation results show that the proposed approach can reduce the amount of processing data in the digital signal processing module and decrease the requirement for the hardware.
url http://dx.doi.org/10.1155/2017/2483586
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AT yeshenhe channelcompressivesensingestimationforpowerlinebasedonompalgorithm
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