Title :
Dual Code Method for Blind Identification of Convolutional Encoder for Cognitive Radio Receiver Design
Author :
Marazin, M. ; Gautier, R. ; Burel, G.
Author_Institution :
Univ. Europeenne de Bretagne, Rennes, France
fDate :
Nov. 30 2009-Dec. 4 2009
Abstract :
Digital communication systems are in perpetual evolution in order to respond to the new user expectations and to new applications transmissions constraints, in term of data rate or reliability. With this fast development of new communication standards, it becomes very difficult for users and also for communications devices producers, to stay compatible with all standards used and with the oncoming ones. For that reason, cognitive radio systems seem to provide an interesting solution to this problem. The conception of intelligent receiver able to adapt itself to a specific transmission context and to blindly estimate the transmitter parameters is a promising solution for the future. In such context, new coding schemes like turbocodes, Low-Density Parity-Check (LDPC) or concatenated codes are developed to increase transmission robustness without significant degradation of the data rate. It is why we have developed a method, described in this paper, dedicated to the blind identification of convolutional encoders usually used in many standards. Moreover, an analysis of the method performances is detailed.
Keywords :
blind source separation; cognitive radio; convolutional codes; radio receivers; blind identification; cognitive radio receiver design; convolutional encoder; dual code method; intelligent receiver; Cognitive radio; Communication standards; Context; Convolutional codes; Digital communication; Parameter estimation; Parity check codes; Radio transmitters; Receivers; Standards development;
Conference_Titel :
GLOBECOM Workshops, 2009 IEEE
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-5626-0
Electronic_ISBN :
978-1-4244-5625-3
DOI :
10.1109/GLOCOMW.2009.5360726