Blind Recognition of (2,1,m) Convolutional Code Based on Simulated Annealing Algorithm

DOI

10.2991/icmit-16.2016.11How to use a DOI?

Keywords

simulated annealing algorithm; convolutional code; blind recognition

Abstract

For the blind recognition problem of convoluntional code, a new method based on simulated annealing algorithm is proposed. Firstly, the mathematical model is given based on code features. Then the basic principle and realization process is described in details, also the method to choose parameters is given. Finally, the performance is simulated by Monte Carlo method. Simulation results show the excellence of the method, and the recognition of convolutional code can be easily achieved even when bit error rate is as high as .When compared with other methods, the algorithm's performance and computational complexity reach a compromise.

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  - Jianxiong Wang
AU  - Limin Zhang
AU  - Zhao-Gen Zhong
PY  - 2016/04
DA  - 2016/04
TI  - Blind Recognition of (2,1,m) Convolutional Code Based on Simulated Annealing Algorithm
BT  - Proceedings of the 2016 3rd International Conference on Mechatronics and Information Technology
PB  - Atlantis Press
SP  - 59
EP  - 62
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmit-16.2016.11
DO  - 10.2991/icmit-16.2016.11
ID  - Wang2016/04
ER  -