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
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;
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
DOI :
10.1109/ICICS.2003.1292718
