article · 2009
An iterative soft-decision decoding algorithm for conventional concatenated codes
Jingwei Zhang, Jiaying You, Lishuang Lu, Xiao Ma
Cited by 7Abstract and details only
Abstract
In this paper, we present an iterative soft-decision decoding algorithm for conventional concatenated codes, which incorporates Koetter-Vardy (KV) algorithm for outer codes and Bahl-Cocke-Jelinek-Raviv (BCJR) algorithm for inner codes. After one round of decoding, the successfully decoded codewords from the outer decoder can be fed back to the inner decoder as constraint information. We compare several decoding algorithms for conventional concatenated codes in terms of the bit-error-rate (BER) performance. Simulation results show that, for conventional concatenated codes, performance improvements of about 0.4 dB and 0.1 dB can be achieved by the iterative soft-decision decoding algorithm over the conventional two-stage decoding algorithm and the iterative hard-decision decoding algorithm, respectively.
Cite this paper
Zhang, J., You, J., Lu, L., & Ma, X. (2009). An iterative soft-decision decoding algorithm for conventional concatenated codes. https://doi.org/10.1109/chinacom.2009.5339712
Zhang, Jingwei, et al. “An iterative soft-decision decoding algorithm for conventional concatenated codes.” 2009, pp. 1–5, https://doi.org/10.1109/chinacom.2009.5339712.
Zhang, Jingwei, Jiaying You, Lishuang Lu, and Xiao Ma. 2009. “An iterative soft-decision decoding algorithm for conventional concatenated codes.” https://doi.org/10.1109/chinacom.2009.5339712.
Zhang, J. et al. (2009) ‘An iterative soft-decision decoding algorithm for conventional concatenated codes’. Available at: https://doi.org/10.1109/chinacom.2009.5339712.
@article{zhang2009iterative,
title = {{An iterative soft-decision decoding algorithm for conventional concatenated codes}},
author = {Zhang, Jingwei and You, Jiaying and Lu, Lishuang and Ma, Xiao},
pages = {1--5},
year = {2009},
doi = {10.1109/chinacom.2009.5339712}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.