Blind recovery of k/n rate convolutional encoders in a noisy environment

Mélanie Marazin (1) , Roland Gautier (1) , Gilles Burel (1)

1 Lab-STICC_UBO_CACS_COM

In order to enhance the reliability of digital transmissions, error correcting codes are used in every digital communication system. To meet the new constraints of data rate or reliability, new coding schemes are currently being developed. Therefore, digital communication systems are in perpetual evolution and it is becoming very difficult to remain compatible with all standards used. A cognitive radio system seems to provide an interesting solution to this problem: the conception of an intelligent receiver able to adapt itself to a specific transmission context. This article presents a new algorithm dedicated to the blind recognition of convolutional encoders in the general k/n rate case. After a brief recall of convolutional code and dual code properties, a new iterative method dedicated to the blind estimation of convolutional encoders in a noisy context is developed. Finally, case studies are presented to illustrate the performances of our blind identification method.

Mots clés: intelligent receiver; cognitive radio; blind identification; convolutional code; dual code

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Mélanie Marazin, Roland Gautier, Gilles Burel. Blind recovery of k/n rate convolutional encoders in a noisy environment. EURASIP Journal on Wireless Communications and Networking, 2011, 2011 (168), pp.1-9. ⟨10.1186/1687-1499-2011-168⟩. ⟨hal-00665726⟩