A method to improve decoding performance of MAX-LOG-MAP algorithm for turbo codes in LTE-Advanced standard

Yongxiang Gao; Mingwei Qin; Yuyu Cheng; Huan Wang; Baolin Hou; Yuancheng Yao

doi:10.1117/12.2639517

19 May 2022 A method to improve decoding performance of MAX-LOG-MAP algorithm for turbo codes in LTE-Advanced standard

Yongxiang Gao, Mingwei Qin, Yuyu Cheng, Huan Wang, Baolin Hou, Yuancheng Yao

Proceedings Volume 12250, International Symposium on Computer Applications and Information Systems (ISCAIS 2022); 122500D (2022) https://doi.org/10.1117/12.2639517
Event: International Symposium on Computer Applications and Information Systems (ISCAIS2022), 2022, Shenzhen, China

Abstract

Turbo code is a channel coding and decoding technology approaching Shannon limit. As a low complexity Max-Log-MAP (MLMAP) decoding algorithm, it is widely used in industry. At low SNR, the decoding performance of MLMAP algorithm of Turbo code is relatively poor, so it needs to be improved. The work of this paper improves the original decoding optimization algorithm of MLMAP algorithm, and proposes MLMAP-DSF algorithm. The optimal parameters of the algorithm are obtained through a large number of simulation experiments. The decoding performance simulation shows that MLMAP-DSF algorithm can improve the decoding performance of the original algorithm by about 0.6dB.

Citation Download Citation

Yongxiang Gao, Mingwei Qin, Yuyu Cheng, Huan Wang, Baolin Hou, and Yuancheng Yao "A method to improve decoding performance of MAX-LOG-MAP algorithm for turbo codes in LTE-Advanced standard", Proc. SPIE 12250, International Symposium on Computer Applications and Information Systems (ISCAIS 2022), 122500D (19 May 2022); https://doi.org/10.1117/12.2639517

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