DocumentCode :
1279745
Title :
On SOVA for nonbinary codes
Author :
Ling Gong ; Xiaofu, Wu ; Xiaoxin, Yi
Author_Institution :
Nanjing Inst. of Commun. Eng., China
Volume :
3
Issue :
12
fYear :
1999
Firstpage :
335
Lastpage :
337
Abstract :
For binary codes, Fossorier et al. (see ibid., vol.2, p.137-9, 1998) have shown that the soft-output Viterbi algorithm (SOVA) becomes equivalent to the max-log-maximum a posteriori (MAP) algorithm after a modification. In this letter, we generalize such modified SOVA to nonbinary cases, motivated by the fact that the performance gap between the original SOVA and the max-log-MAP algorithm broadens in these cases, The equivalence between the two algorithms is proved in a more compact form. The modified SOVA requires only add-compare-select operations and is well suited for high-speed parallel implementation.
Keywords :
Viterbi decoding; convolutional codes; SOVA; add-compare-select operations; convolutional codes; decoding; high-speed parallel implementation; max-log-MAP algorithm; max-log-maximum a posteriori algorithm; nonbinary codes; soft-output Viterbi algorithm; AWGN; Approximation algorithms; Binary codes; Concatenated codes; Degradation; Iterative algorithms; Iterative decoding; Maximum likelihood decoding; Vectors; Viterbi algorithm;
fLanguage :
English
Journal_Title :
Communications Letters, IEEE
Publisher :
ieee
ISSN :
1089-7798
Type :
jour
DOI :
10.1109/4234.809527
Filename :
809527
Link To Document :
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