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The Channel Compressive Sensing Estimation for Power Line Based on OMP Algorithm
Joint Authors
Liang, Kun
He, Yeshen
Wu, Yannian
Hu, Xin
Sun, Lili
Li, Xiangzhen
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-04-23
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Li, Xiangzhen& Liang, Kun& He, Yeshen& Wu, Yannian& Hu, Xin& Sun, Lili. 2017. The Channel Compressive Sensing Estimation for Power Line Based on OMP Algorithm. Journal of Electrical and Computer Engineering،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1175240
Modern Language Association (MLA)
Li, Xiangzhen…[et al.]. The Channel Compressive Sensing Estimation for Power Line Based on OMP Algorithm. Journal of Electrical and Computer Engineering No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1175240
American Medical Association (AMA)
Li, Xiangzhen& Liang, Kun& He, Yeshen& Wu, Yannian& Hu, Xin& Sun, Lili. The Channel Compressive Sensing Estimation for Power Line Based on OMP Algorithm. Journal of Electrical and Computer Engineering. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1175240
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175240