Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy

Low-voltage Power Line Noise Estimation Using Compressed Sensing

Authors
Zepeng Hu, Yue Yang, Qun Wan
Corresponding Author
Zepeng Hu
Available Online July 2015.
DOI
10.2991/icismme-15.2015.34How to use a DOI?
Keywords
Compressive Sensing; Power Carrier Communication; OMP; Harmonic Noise; Impulsive Noise;
Abstract

Large-amplitude random impulsive noise and harmonic noise have a very serious impact on the quality of low-voltage power line communication. Taking the time-domain sparsity of random impulsive noise and the frequency-domain sparsity of harmonic noise into consideration, we apply Compressive Sensing (CS) theory to reconstruct the noise, and to restrict the power line noise. The simulations show that the orthogonal matching pursuit (OMP) algorithm can effectively reconstruct the random impulse noise and harmonic noise. Applying this method to the research of carrier communication module interchangeability,we can reduce the bit error rate caused by carrier module interchange, and improve the robustness of carrier communication system.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
10.2991/icismme-15.2015.34
ISSN
1951-6851
DOI
10.2991/icismme-15.2015.34How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zepeng Hu
AU  - Yue Yang
AU  - Qun Wan
PY  - 2015/07
DA  - 2015/07
TI  - Low-voltage Power Line Noise Estimation Using Compressed Sensing
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 164
EP  - 168
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.34
DO  - 10.2991/icismme-15.2015.34
ID  - Hu2015/07
ER  -