DocumentCode :
2729224
Title :
Minimum distance properties of multiple-serially concatenated codes
Author :
Ravazzi, Chiara ; Fagnani, Fabio
Author_Institution :
DIMAT, Politec. di Torino, Torino, Italy
fYear :
2010
fDate :
6-10 Sept. 2010
Firstpage :
78
Lastpage :
82
Abstract :
In this paper minimum distance properties of multiple-serial turbo codes, obtained by coupling an outer code with a cascade of m rate-1 recursive convolutional encoders through uniform random interleavers, are studied. The parameters that make the ensemble asymptotically good are identified. In particular, it is shown that, if m = 2 and the free distance of the outer encoder dfo ≥ 3, or if m ≥ 3 and dfo ≥ 2, then the minimum distance scales linearly in the interleaver length with high probability. Through the analysis of the asymptotic spectral functions, a lower bound for the asymptotic growth rate coefficient is provided. Finally, under a weak algebraic condition on the outer encoder, it is proved that the sequence of normalized minimum distances of these concatenated coding schemes converges to the Gilbert-Varshamov (GV) distance when m goes to infinity.
Keywords :
concatenated codes; convolutional codes; turbo codes; Gilbert-Varshamov distance; asymptotic growth rate coefficient; asymptotic spectral functions; concatenated coding schemes; interleaver length; minimum distance properties; multiple-serial turbo codes; multiple-serially concatenated codes; normalized minimum distances; recursive convolutional encoders; uniform random interleavers; weak algebraic condition; Asymptotic spectral function; convolutional encoder input-output weight distribution; maximum likelihood decoding; turbo-like codes; uniform random interleavers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Turbo Codes and Iterative Information Processing (ISTC), 2010 6th International Symposium on
Conference_Location :
Brest
Print_ISBN :
978-1-4244-6744-0
Electronic_ISBN :
978-1-4244-6745-7
Type :
conf
DOI :
10.1109/ISTC.2010.5613807
Filename :
5613807
Link To Document :
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