Turbo codes optimization using genetic algorithms
Durand, Nicolas ; Alliot, Jean-Marc ; Bartolome, Boris
HAL, hal-00937737 / Harvested from HAL
Text on HAL
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.
Publié le : 1999-07-06
Classification:  [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC] 
@article{hal-00937737,
     author = {Durand, Nicolas and Alliot, Jean-Marc and Bartolome, Boris},
     title = {Turbo codes optimization using genetic algorithms},
     journal = {HAL},
     volume = {1999},
     number = {0},
     year = {1999},
     language = {en},
     url = {http://dml.mathdoc.fr/item/hal-00937737}
}

Durand, Nicolas; Alliot, Jean-Marc; Bartolome, Boris. Turbo codes optimization using genetic algorithms. HAL, Tome 1999 (1999) no. 0, . http://gdmltest.u-ga.fr/item/hal-00937737/