Skip to Main content Skip to Navigation
Journal articles

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

Mélanie Marazin 1 Roland Gautier 1, * Gilles Burel 1
* Corresponding author
1 Lab-STICC_UBO_CACS_COM
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance, UBO - Université de Brest
Abstract : 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.
Complete list of metadata

https://hal.univ-brest.fr/hal-00665726
Contributor : Roland Gautier Connect in order to contact the contributor
Submitted on : Thursday, February 2, 2012 - 3:40:14 PM
Last modification on : Wednesday, October 13, 2021 - 2:50:07 PM

Links full text

Identifiers

`

Citation

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, SpringerOpen, 2011, 2011 (168), pp.1-9. ⟨10.1186/1687-1499-2011-168⟩. ⟨hal-00665726⟩

Share

Metrics

Record views

345