DocumentCode
2898770
Title
Turbo decoding performance dependency analysis on parameters with SOVA by using a statistical method ANOVA
Author
Kim, Jumin ; Duckjin Chung
Author_Institution
Integrated Circuit Res. Laboratory, Inha Univ., Inchon, South Korea
Volume
3
fYear
2003
fDate
15-18 Dec. 2003
Firstpage
1507
Abstract
In this paper, we investigate the turbo decoding performance dependency on some major parameters of SOVA by employing the statistical method, ANOVA. The analysis and simulation result show that the decoding performance of SOVA largely depends on the extrinsic information scaling among other parameters and only about 0.1 dB performance degradation at 10-4 of BER can be obtained for a K = 4, 1/3 turbo code with respect to the max-log-MAP decoding.
Keywords
Viterbi decoding; error statistics; maximum likelihood decoding; turbo codes; BER; SOVA; analysis of variance; max-log-MAP decoding; turbo code; turbo decoding; AWGN; Analysis of variance; Analytical models; Decoding; Degradation; Information analysis; Iterative algorithms; Performance analysis; Statistical analysis; Turbo codes;
fLanguage
English
Publisher
ieee
Conference_Titel
Information, Communications and Signal Processing, 2003 and Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint Conference of the Fourth International Conference on
Print_ISBN
0-7803-8185-8
Type
conf
DOI
10.1109/ICICS.2003.1292718
Filename
1292718
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