DocumentCode :
2831847
Title :
Genetic Algorithms for Better Turbo Codes
Author :
Snasel, Vaclav ; Platos, Jan ; Kromer, Pavel ; Ouddane, Nabil
Author_Institution :
Dept. of Comput. Sci., VSB - Tech. Univ. of Ostrava, Ostrava
fYear :
2008
fDate :
1-5 Sept. 2008
Firstpage :
544
Lastpage :
548
Abstract :
Throughout the past decade, the discovery of turbo codes has been considered as one of the most successful researches whose impact significantly enhanced the quality of modern communication systems. To obtain an excellent performance, it is necessary to design robust turbo code interleaver. In the recent time, there were several attempts to apply genetic algorithms to improve the performance of turbo codes by optimization of the interleaver. This paper investigates the optimization of turbo code interleaver with free distance as a fitness function.
Keywords :
genetic algorithms; turbo codes; fitness function; genetic algorithms; optimization; robust turbo code interleaver; Bit error rate; Concatenated codes; Data mining; Databases; Delay; Genetic algorithms; Iterative decoding; Niobium; Signal to noise ratio; Turbo codes; genetic algorithms; interleaver optimization; turbo code;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database and Expert Systems Application, 2008. DEXA '08. 19th International Workshop on
Conference_Location :
Turin
ISSN :
1529-4188
Print_ISBN :
978-0-7695-3299-8
Type :
conf
DOI :
10.1109/DEXA.2008.95
Filename :
4624773
Link To Document :
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