Blind Recognition of Recursive System Convolutional Codes

Abstract:

Recursive system convolutional codes (RSC codes) are the commonly used coding form for Turbo sub-encoders. For blind recognition problem of RSC codes, a novel method is proposed to recognize code parameters and generator polynomials. Firstly, code parameters are estimated by analyzing matrix constructed from the received codeword. Then, the mathematical model for recognition of generator polynomials is derived according to RSC codes’ characteristics, and the specific implementation steps are introduced. Finally, simulation results from Matlab show that the performance of the method is obviously more excellent than other methods, which indicates great significance to further research on Turbo codes.

• Periodical: Applied Mechanics and Materials (Volumes 631-632)
• Pages: 816-819
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.631-632.816
• Online since: September 2014
• Authors: Jie Liu, Li Min Zhang, Zhao Gen Zhong
• Keywords: Blind Recognition, Matrix Analysis, RSC Codes, Walsh-Hadamard Transform

References

[1] Berrou C, Glavieux A: IEEEICC93, Vol. 10 (1993), p.1064.

[2] Melanie Marazin, Roland Gautier, Gilles Burel: Wireless Communications and Networks, Vol. 2001 (2001), p.1186.

[3] Fenghua WANG, Zhitao HUANG: IEEE Inter Conference on Wireless Com Networking and Mobile Computing, 2007, p.1414.

[4] Hui Xie, Zhitao HUANG, Fenghua WANG: ACTA ELECTRONICA SINICA, Vol. 41 (2013), p.1167, in Chinese.

[5] Jiancheng LIU, Xiaojing YANG: Journal of Electronics & Information Technology, Vol. 34 (2012), p.2364, in Chinese.

[6] Shu Lin, Daniel J. Costello: Error Control Coding (Prentice Hall Press, US 2007).

[7] Ling YOU, Zhongliang ZHU: Signal Processing, Vol. 16 (2000), p.28, in Chinese.