Turbo codes optimization using genetic algorithms

Nicolas Durand (1) , Jean-Marc Alliot (1) , Boris Bartolome (2)

1 ENAC - Ecole Nationale de l'Aviation Civile
2 SUPAERO - École nationale supérieure de l'aéronautique et de l'espace

Turbo codes have been an important revolution in the digital communications world. Since their discovery, the coding community has been trying to understand, explain and improve turbo codes. The floor phenomenon is the parallel concatenated convolutional turbo codes main problem. In this paper, genetic algorithms are used to lower the free distance of such a code. Results in terms of bit error rate are compared to the other main methods.

Domaines: Mathématiques [math]; Optimisation et contrôle [math.OC]

Nicolas Durand, Jean-Marc Alliot, Boris Bartolome. Turbo codes optimization using genetic algorithms. CEC 99, Congress on Evolutionary Computation, Jul 1999, Washington, United States. pp xxxx, ⟨10.1109/CEC.1999.782506⟩. ⟨hal-00937737⟩