Optimization of Turbo Codes by Differential Evolution and Genetic Algorithms

被引：0
|
作者：
Kroemer, Pavel [1 ]
Snasel, Vaclav [1 ]
Platos, Jan [1 ]
Abraham, Ajith [1 ]
机构：
[1] VSB Tech Univ Ostrava, Dept Comp Sci, FEECS, CZ-70833 Ostrava, Czech Republic
来源：
HIS 2009: 2009 NINTH INTERNATIONAL CONFERENCE ON HYBRID INTELLIGENT SYSTEMS, VOL 3, PROCEEDINGS | 2009年
关键词：
D O I：
10.1109/HIS.2009.289
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
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页码：376 / 381
页数：6
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