Research on Decoding Algorithm for（n, 1, m） Convolutional Code

DOI

10.2991/icmmct-16.2016.125How to use a DOI?

Keywords

Convolutional code; Decoding; Syndromeï¼›Error correction.

Abstract

This paper takes (2, 1, 5) convolutional codes as example, disscusses the decoding algorithm for (n, 1, m) convolutional codes according to the principle of the reversibility of the modulo 2 operation.We designed the decoder and the syndrome of the (2, 1, 5) convolutional codesbased on its encoder firstly; then studied on the error correction methodused for one or two bits error within a constraint lengthaccording to the corresponding relationships between syndrome and the type of error codes; finally validity of this algorithm is verified through the computer simulation.

Copyright

© 2016, 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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TY  - CONF
AU  - Yamei Zou
AU  - Hongqiao Pu
AU  - Zhiqiang Xu
PY  - 2016/03
DA  - 2016/03
TI  - Research on Decoding Algorithm for（n, 1, m） Convolutional Code
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 631
EP  - 636
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.125
DO  - 10.2991/icmmct-16.2016.125
ID  - Zou2016/03
ER  -