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Optimization of Turbo Codes by Differential Evolution and Genetic Algorithms
2009
2009 Ninth International Conference on Hybrid Intelligent Systems
Since their appearance in 1993, first approaching the Shannon limit, turbo codes gave a new direction in the channel encoding field, especially since they have been adopted for multiple telecommunication norms. To obtain good performance, it is necessary to design a robust turbo code interleaver. This paper proposes a a differential evolution approach to find above average turbo code interleavers. Performance is compared with the conventional genetic algorithm approach and the empirical results illustrate that DE performs well.
doi:10.1109/his.2009.289
dblp:conf/his/KromerSPA09
fatcat:rzyzmsfefrf4jegeyi2n6zvxna