Title :
Near optimum error correcting coding and decoding: turbo-codes
Author :
Berrou, Claude ; Glavieux, Alain
Author_Institution :
Ecole Nat. Superieure des Telecommun. de Bretagne, Brest, France
fDate :
10/1/1996 12:00:00 AM
Abstract :
This paper presents a new family of convolutional codes, nicknamed turbo-codes, built from a particular concatenation of two recursive systematic codes, linked together by nonuniform interleaving. Decoding calls on iterative processing in which each component decoder takes advantage of the work of the other at the previous step, with the aid of the original concept of extrinsic information. For sufficiently large interleaving sizes, the correcting performance of turbo-codes, investigated by simulation, appears to be close to the theoretical limit predicted by Shannon
Keywords :
codecs; convolutional codes; decoding; error correction codes; interleaved codes; iterative methods; concatenation; convolutional codes; correcting performance; extrinsic information; iterative processing; near optimum error correcting coding; near optimum error correcting decoding; nonuniform interleaving; recursive systematic codes; turbo-codes; Bit error rate; Channel coding; Convolution; Convolutional codes; Error correction; Interleaved codes; Iterative decoding; Modulation coding; Silicon; Turbo codes;
Journal_Title :
Communications, IEEE Transactions on
