DocumentCode :
751977
Title :
Coding theorems for turbo code ensembles
Author :
Jin, Hui ; Mceliece, Robert J.
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
Volume :
48
Issue :
6
fYear :
2002
fDate :
6/1/2002 12:00:00 AM
Firstpage :
1451
Lastpage :
1461
Abstract :
This paper is devoted to a Shannon-theoretic study of turbo codes. We prove that ensembles of parallel and serial turbo codes are "good" in the following sense. For a turbo code ensemble defined by a fixed set of component codes (subject only to mild necessary restrictions), there exists a positive number γ0 such that for any binary-input memoryless channel whose Bhattacharyya noise parameter is less than γ0, the average maximum-likelihood (ML) decoder block error probability approaches zero, at least as fast as n , where β is the "interleaver gain" exponent defined by Benedetto et al. in 1996
Keywords :
error statistics; interleaved codes; maximum likelihood decoding; memoryless systems; turbo codes; Bhattacharyya noise parameter; Shannon theory; average maximum-likelihood decoder; binary-input memoryless channel; block error probability; coding theorems; component codes; ensemble weight enumerator; interleaver gain; parallel turbo codes; serial turbo codes; turbo code ensembles; union bound; upper bounds; Approximation algorithms; Channel capacity; Channel coding; Error probability; Helium; Maximum likelihood decoding; Memoryless systems; State estimation; Turbo codes; Upper bound;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2002.1003833
Filename :
1003833
Link To Document :
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