Title :
Genetic Algorithms for Turbo Codes
Author :
Hebbes, Luke ; Malyan, Ronald R. ; Lenaghan, Andrew P.
Author_Institution :
Fac. of Comput., Inf. Syst. & Math., Kingston Univ.
Abstract :
This paper proposes a scheme for introducing genetic algorithms (GA) into the turbo code structure to enable the systematic data to be discarded at the encoder and reconstructed at the decoder. The scheme enables code rates of frac12 to be achieved without puncturing the parity data. The paper also shows that the speed of convergence of GAs, when implemented in the proposed structure, can be used to reduce the computational overhead involved in the turbo decoder
Keywords :
decoding; genetic algorithms; turbo codes; convergence speed; genetic algorithms; systematic data; turbo code structure; turbo decoder; Channel coding; Computer networks; Convergence; Decoding; Electronic mail; Forward error correction; Genetic algorithms; Information systems; Mathematics; Turbo codes; Channel Coding; Code Rate; Genetic Algorithms; Puncturing; Turbo Codes;
Conference_Titel :
Computer as a Tool, 2005. EUROCON 2005.The International Conference on
Conference_Location :
Belgrade
Print_ISBN :
1-4244-0049-X
DOI :
10.1109/EURCON.2005.1629968
