Title :
Approaching Shannon´s capacity limit by 0.2 dB using simple Hamming codes
Author :
Nickl, Helmut ; Hagenauer, Joachim ; Burkert, Frank
Author_Institution :
Dept. of Commun. Eng., Tech. Univ. Munchen, Germany
Abstract :
The authors show that the Shannon capacity limit for the additive white Gaussian noise (AWGN) channel can be approached within 0.27 dB at a bit error rate (BER) of 10/sup -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. But the storage requirement might still be quite high depending on the interleavers used.
Keywords :
Gaussian channels; Hamming codes; block codes; channel capacity; decoding; error correction codes; error statistics; information theory; interleaved codes; iterative methods; matrix multiplication; rate distortion theory; white noise; AWGN channel; BER; SYNAPSE 1; Shannon capacity limit; additive white Gaussian noise channel; binary block codes; bit error rate; complexity; component codes; decoding algorithm; interleavers; iterative turbo-decoding scheme; logarithmic domain; matrix additions; matrix multiplications; neurocomputer application; simple Hamming codes; soft-in/soft-out decoding; storage requirement; AWGN; Additive white noise; Bit error rate; Block codes; Computer networks; Information theory; Iterative algorithms; Iterative decoding; Iterative methods; Workstations;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/4234.625034