DocumentCode :
3266066
Title :
Iterative Decoding of Non-binary Turbo Codes Using Symbol Based SOVA Algorithm
Author :
Liu, Jianjun ; Tu, Guofang
Author_Institution :
Sch. of Inf. Sci. & Eng., Graduated Univ. of Chinese Acad. of Sci., Beijing
Volume :
2
fYear :
2006
fDate :
25-28 June 2006
Firstpage :
689
Lastpage :
693
Abstract :
Bandwidth efficient turbo coding schemes attract increasing research interest these years, most of these schemes are constructed by non-binary convolutional codes and need to be decoded symbol by symbol instead of bit by bit. In this paper, a modified symbol based SOVA decoding algorithm for non-binary turbo codes is proposed. Using our symbol based SOVA algorithm, soft output information from the prior iteration can be accepted as a priori soft input information for current iteration. The experimental results show that our algorithm can achieve close performance to MaxLogMAP algorithm for large interleaver size with lower complexity, and the performance loss of the SOVA compared to the optimal MAP algorithm is only about 0.3 dB at a BER of 10-4
Keywords :
Viterbi decoding; error statistics; interleaved codes; iterative decoding; maximum likelihood decoding; turbo codes; BER; MaxLogMAP algorithm; SOVA decoding algorithm; apriori soft input information; bit error rate; iterative decoding; nonbinary turbo code; soft output Viterbi algorithm; Bandwidth; Concatenated codes; Convolutional codes; Information science; Iterative algorithms; Iterative decoding; Maximum likelihood decoding; Modulation coding; Performance loss; Turbo codes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Circuits and Systems Proceedings, 2006 International Conference on
Conference_Location :
Guilin
Print_ISBN :
0-7803-9584-0
Electronic_ISBN :
0-7803-9585-9
Type :
conf
DOI :
10.1109/ICCCAS.2006.284749
Filename :
4063990
Link To Document :
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