DocumentCode :
3626833
Title :
Optimizing Interleaver for Turbo Codes by Genetic Algorithms
Author :
Pavel Kromer;Vaclav Snasel;Jan Platos;Nabil Ouddane
Author_Institution :
VSB - Tech. Univ. of Ostrava, Ostrava
Volume :
1
fYear :
2007
Firstpage :
423
Lastpage :
428
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 :
"Turbo codes","Genetic algorithms"
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE International Conference on
ISSN :
1082-3409
Print_ISBN :
0-7695-3015-X;978-0-7695-3015-4
Type :
conf
DOI :
10.1109/ICTAI.2007.149
Filename :
4410315
Link To Document :
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