DocumentCode
1142740
Title
Iterative Decoding Convergence and Termination of Serially Concatenated Codes
Author
Maunder, Robert G. ; Hanzo, Lajos
Author_Institution
Sch. of Electron. & Comput. Sci., Univ. of Southampton, Southampton, UK
Volume
59
Issue
1
fYear
2010
Firstpage
216
Lastpage
224
Abstract
In this paper, we demonstrate that the previously proposed arrangements of serially concatenated codes have extrinsic-information-transfer (EXIT) functions that intersect each other at points that are near but not at the (1, 1) point in the top-right-hand corner of the EXIT chart, which is typically associated with elevated error floors. We propose a novel arrangement having EXIT functions that do not intersect before the (1, 1) point, which is typically associated with approaching the maximum-likelihood (ML) bit-error-ratio (BER) performance. Our method employs an inner recursive code that is terminated using specifically designed termination sequences, which have a minimum Hamming distance of at least two between each other. Additionally, we provide optimal termination sequences for a range of inner code designs. Finally, we demonstrate that our novel approach can facilitate useful BER reductions in the challenging application scenario when employing short frame lengths on the order of 100 bits, which are typical in wireless sensor networks, for example.
Keywords
concatenated codes; error statistics; iterative decoding; maximum likelihood estimation; recursive estimation; wireless sensor networks; BER reductions; EXIT functions; ML BER performance; extrinsic-information-transfer functions; inner recursive code; iterative decoding convergence; maximum likelihood bit error ratio performance; minimum Hamming distance; optimal termination sequences; serially-concatenated codes; wireless sensor networks; Convolutional codes; error-correction coding; information rates; trellis codes;
fLanguage
English
Journal_Title
Vehicular Technology, IEEE Transactions on
Publisher
ieee
ISSN
0018-9545
Type
jour
DOI
10.1109/TVT.2009.2028118
Filename
5169942
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