Genetic Algorithms for Better Turbo Codes

Throughout the past decade, the discovery of turbo codes has been considered as one of the most successful researches whose impact significantly enhanced the quality of modern communication systems. To obtain an excellent performance, it is necessary to design robust turbo code interleaver. In the recent time, there were several attempts to apply genetic algorithms to improve the performance of turbo codes by optimization of the interleaver. This paper investigates the optimization of turbo code interleaver with free distance as a fitness function.

[1]  Dorothea Heiss-Czedik,et al.  An Introduction to Genetic Algorithms. , 1997, Artificial Life.

[2]  Václav Snásel,et al.  Genetic Algorithms for Turbo Code Interleaver Optimization , 2007, Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007).

[3]  N. Durand,et al.  Turbo codes optimization using genetic algorithms , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[4]  V. Snasel,et al.  Interleaver Design for Parallel Convolutive Turbo Codes by the Genetic Algorithms , 2007, 2007 17th International Conference Radioelektronika.

[5]  Claude Berrou,et al.  The ten-year-old turbo codes are entering into service , 2003, IEEE Commun. Mag..

[6]  A. Glavieux,et al.  Near Shannon limit error-correcting coding and decoding: Turbo-codes. 1 , 1993, Proceedings of ICC '93 - IEEE International Conference on Communications.

[7]  Boris Bartolomé Utilisation des turbo codes pour un système de communications multimedia par satellite , 1999 .

[8]  Roberto Garello,et al.  On error floor and free distance of turbo codes , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[9]  Wim Hordijk,et al.  Design of an Interleaver for Turbo Codes using Genetic Algorithms , 2006 .