Title :
Approaching Shannon´s capacity limit by 0.27 dB using Hamming codes in a `turbo´-decoding scheme
Author :
Nickl, Helmut ; Hagenauer, Joachim ; Burkert, Frank
Author_Institution :
Dept. of Commun. Eng., Tech. Univ. Munchen, Germany
fDate :
29 Jun-4 Jul 1997
Abstract :
The Shannon capacity limit can be reached by less than 0.27 dB at a BER of 10-5 by applying long but simple Hamming codes as component codes to an iterative `turbo´-decoding scheme. In general, the complexity of soft-in/soft-out decoding of binary block codes is rather high. However, the application of a neurocomputer in combination with a parallelization of the decoding rule facilitates an implementation of the decoding algorithm in the logarithmic domain which requires only matrix additions and multiplications
Keywords :
Hamming codes; block codes; concatenated codes; convolutional codes; iterative methods; maximum likelihood decoding; neural nets; parallel algorithms; telecommunication computing; BER; Hamming codes; SYNAPSE 1; Shannon´s capacity limit; binary block codes; component codes; decoding algorithm; iterative turbo-decoding scheme; logarithmic domain; matrix additions; multiplications; neurocomputer; parallelization; soft-in/soft-out decoding; Acceleration; Artificial neural networks; Binary codes; Bit error rate; Block codes; Computer architecture; Fixed-point arithmetic; Iterative algorithms; Iterative decoding; Workstations;
Conference_Titel :
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location :
Ulm
Print_ISBN :
0-7803-3956-8
DOI :
10.1109/ISIT.1997.612927