Blind Recognition of (n, k, m) Convolutional Code Based on Local Decision in a Noisy Environment

DOI

10.2991/amcce-15.2015.103How to use a DOI?

Keywords

Noisy environment; Convolution Code; Blind Recognition

Abstract

This paper consider the problem of recognition of (n, k, m) convolutional code from a corrupted bit stream in a reverse-engineering communication system. A new method based on the properties of convolutional encoders and local decision was proposed, which can construct any rate k/n convolutional encoders blindly. Because of the effective utilization of the mathematical properties, this approach presented requires small amount of received bit stream. The validity of algorithm is verified by the simulation result, and the performance is proved to be optimal.

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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TY  - CONF
AU  - Yao Wang
AU  - Feng-hua Wang
AU  - Zhi-tao Huang
PY  - 2015/04
DA  - 2015/04
TI  - Blind Recognition of (n, k, m) Convolutional Code Based on Local Decision in a Noisy Environment
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 556
EP  - 561
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.103
DO  - 10.2991/amcce-15.2015.103
ID  - Wang2015/04
ER  -