DocumentCode
1503757
Title
Spectra and Minimum Distances of Repeat Multiple–Accumulate Codes
Author
Ravazzi, Chiara ; Fagnani, Fabio
Author_Institution
Dept. of Math., Politec. di Torino, Torino, Italy
Volume
55
Issue
11
fYear
2009
Firstpage
4905
Lastpage
4924
Abstract
In this paper, the ensembles of repeat multiple- accumulate codes (RAm), which are obtained by interconnecting a repeater with a cascade of m accumulate codes through uniform random interleavers, are analyzed. It is proved that the average spectral shapes of these code ensembles are equal to 0 below a threshold distance epsivm and, moreover, they form a nonincreasing sequence in m converging uniformly to the maximum between the average spectral shape of the linear random ensemble and 0. Consequently the sequence epsivm converges to the Gilbert-Varshamov (GV) distance. A further analysis allows to conclude that if m ges 2 the RAm are asymptotically good and that epsivm is the typical normalized minimum distance when the interleaver length goes to infinity. Combining the two results it is possible to conclude that the typical distance of the ensembles RAm converges to the Gilbert-Varshamov bound.
Keywords
codes; Gilbert-Varshamov distance; linear random ensemble; repeat multiple-accumulate codes; uniform random interleavers; Concatenated codes; Convolutional codes; Error probability; H infinity control; Iterative decoding; Maximum likelihood decoding; Repeaters; Spectral shape; Turbo codes; Upper bound; Asymptotic spectral shape; Gilbert–Varshamov distance; input–output weight distribution; multiple serially concatenated codes; uniform random interleavers;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2009.2030459
Filename
5290279
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