Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

A Study on Turbo Code Performance Based on AWGN Channel

Authors
Peng Zhu, Jun Zhu, Xiang Liu
Corresponding Author
Peng Zhu
Available Online March 2013.
DOI
10.2991/iccsee.2013.2How to use a DOI?
Keywords
Turbo code, frame length, component code, decoding algorithm, bit error rate
Abstract

Turbo codes have a wide range of applications in 3G mobile communications, deep-sea communications, satellite communications and other power constrained fields. In the paper, the Turbo Code Decoding Principle and several major decoding methods are introduced. Simulations of Turbo code performance under different parameters of AWGN channel are made and the effects of the different interleaving length, the number of iterations, and the decoding algorithm to Turbo code performance are also discussed in AWGN channel. Simulation results show that under the same signal-to-noise ratio, the more the number of iterations is, the longer the sequence of information is, and the more excellent decoding algorithm is, the better the performance of Turbo codes is.

Copyright
© 2013, 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 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
10.2991/iccsee.2013.2
ISSN
1951-6851
DOI
10.2991/iccsee.2013.2How to use a DOI?
Copyright
© 2013, 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  - Peng Zhu
AU  - Jun Zhu
AU  - Xiang Liu
PY  - 2013/03
DA  - 2013/03
TI  - A Study on Turbo Code Performance Based on AWGN Channel
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 5
EP  - 9
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.2
DO  - 10.2991/iccsee.2013.2
ID  - Zhu2013/03
ER  -