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.
引用
收藏
页码：376 / 381
页数：6
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