Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)

The time-domain model of 10kV power Line communication based on OFDM

Authors
Suhan Zhang
Corresponding Author
Suhan Zhang
Available Online April 2017.
DOI
10.2991/fmsmt-17.2017.124How to use a DOI?
Keywords
Time-domain model, Communication, OFDM.
Abstract

The signal noise and attenuation in channels severely affect the communication quality in power distribution network. Orthogonal Frequency Division Multiplexing(OFDM) has an excellent antijamming capability and a high rate of channel utilization and is widely adopted in power line communication. In this paper, an OFDM system applied in power line communication is established. Then several typical channel models under Matlab are chosen to simulate the signal transmission in 10kV power line communication and analyze the channel characteristics.

Copyright
© 2017, 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 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/fmsmt-17.2017.124
ISSN
2352-5401
DOI
10.2991/fmsmt-17.2017.124How to use a DOI?
Copyright
© 2017, 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  - Suhan Zhang
PY  - 2017/04
DA  - 2017/04
TI  - The time-domain model of 10kV power Line communication based on OFDM
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 623
EP  - 627
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.124
DO  - 10.2991/fmsmt-17.2017.124
ID  - Zhang2017/04
ER  -