DocumentCode :
3626522
Title :
Genetic Algorithms for Turbo Code Interleaver Optimization
Author :
Vaclav Snasel;Pavel Kramer;Nabril Ouddane
Author_Institution :
Tech. Univ. of Ostrava, Ostrava
fYear :
2007
Firstpage :
277
Lastpage :
282
Abstract :
Since the appearance in 1993, first approaching the Shannon limit, the Turbo Codes give a new direction for the channel encoding field, especially since they were adopted for multiple norms of telecommunications, such as deeper communication. To obtain an excellent performance it is necessary to design robust turbo code interleaver. We are investigating genetic algorithms as a promising optimization method to find good performing interleaver for the large frame sizes. In this paper, we present our work, compare with several previous approaches and present experimental results.
Keywords :
"Genetic algorithms","Turbo codes","Bit error rate","Delay","Iterative decoding","Optimization methods","Interleaved codes","Performance gain","Satellites","Testing"
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications, 2007. ISDA 2007. Seventh International Conference on
Print_ISBN :
0-7695-2976-3;978-0-7695-2976-9
Type :
conf
DOI :
10.1109/ISDA.2007.4
Filename :
4389621
Link To Document :
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