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
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