DocumentCode :
2295625
Title :
Near optimum decoding of product codes
Author :
Pyndiah, Ramesh ; Glavieux, Alain ; Picart, A. ; Jacq, Sylvie
Author_Institution :
Telecom Bretagne, Brest, France
fYear :
1994
fDate :
28 Nov- 2 Dec 1994
Firstpage :
339
Abstract :
A new iterative decoding algorithm for product codes (block) based on soft decoding and soft decision output of the component codes is described in the paper. Monte Carlo simulations of the bit error rate (BER) after decoding using this new algorithm for different product codes indicate coding gains of up to 8 dB. This new coding scheme is attractive for digital transmission systems requiring powerful coding schemes with a high code rate (R>0.8). In the paper the authors compare their coding scheme with one of the best coding schemes, the “turbo-codes”, in terms of BER performance
Keywords :
BCH codes; Monte Carlo methods; block codes; decoding; digital communication; error statistics; iterative methods; linear codes; BER performance; Monte Carlo simulations; bit error rate; coding gains; digital transmission; high code rate; iterative decoding algorithm; near optimum decoding; product codes; soft decision output; soft decoding; turbo-codes; AWGN; Bit error rate; Block codes; Concatenated codes; Gaussian channels; Iterative algorithms; Iterative decoding; Maximum likelihood decoding; Maximum likelihood estimation; Product codes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 1994. GLOBECOM '94. Communications: The Global Bridge., IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-1820-X
Type :
conf
DOI :
10.1109/GLOCOM.1994.513494
Filename :
513494
Link To Document :
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