Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication

A Nearly Loss-less Compression Technology based on CTP and Partial Sample Points Calibration for OFDM Signal

Authors
Yan Li, Baoxian Yu, Dongri Su, Xianhua Dai
Corresponding Author
Yan Li
Available Online July 2015.
DOI
10.2991/csic-15.2015.16How to use a DOI?
Keywords
OFDM systems, Clipping with tail plug (CTP), Partial sample calibration (PSC), Nearly loss-less compression
Abstract

Traditional compression algorithms of OFDM signals with a low compression ratio and a low SNR come along with a high error rate, which fail to meet the requirements of OFDM systems. To achieve high compression ratio and low error rate, we propose a new algorithm based on a combination of clipping with tail plug (CTP) and partial sample calibration (PSC). The new algorithm can achieve the nearly loss-less compression and the compression ratio can be as high as 1.86:1 with a error rate less than 10^(-7), while SNR corresponding to quantization error is up to 70dB in 4096-QAM OFDM signal modulation schemes, which meets well for the requirements of the FTTdp+GDSL systems.

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 2015 International Conference on Computer Science and Intelligent Communication
Series
Advances in Computer Science Research
Publication Date
July 2015
ISBN
978-94-62520-84-4
ISSN
2352-538X
DOI
10.2991/csic-15.2015.16How 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  - Yan Li
AU  - Baoxian Yu
AU  - Dongri Su
AU  - Xianhua Dai
PY  - 2015/07
DA  - 2015/07
TI  - A Nearly Loss-less Compression Technology based on CTP and Partial Sample Points Calibration for OFDM Signal
BT  - Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication
PB  - Atlantis Press
SP  - 68
EP  - 71
SN  - 2352-538X
UR  - https://doi.org/10.2991/csic-15.2015.16
DO  - 10.2991/csic-15.2015.16
ID  - Li2015/07
ER  -