Optimization of Turbo Codes by Differential Evolution and Genetic Algorithms
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.
Pavel Kr(o)er Válav Sná(s)el Jan Plato(s) Ajith Abraham
FEECS, Dept. of Computer Science V(S)B-Technical University of Ostrava 17. Listopadu 15, CZ 708 33 Ostrava-Poruba, Czech Republic
国际会议
2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)
沈阳
英文
1-6
2009-08-12（万方平台首次上网日期，不代表论文的发表时间）