An improved Chase–Pyndiah algorithm in the iterative decoding of turbo product codes

被引：0

作者：

Yang, Tao ^{[1
]}

Xi, Zhiyu ^{[2
]}

Sun, Qifu Tyler ^{[3
]}

机构：

[1] School of Electronics and Information Engineering, Beihang University (BUAA), Beijing, China

[2] School of Automatic Control, Beihang University (BUAA), Beijing, China

[3] University of Science and Technology Beijing, China

来源：

Journal of Engineering | 2022年 / 2022卷 / 09期

关键词：

Bit-error rate - Error rate performance - Estimation methods - Iterative decodings - Low latency - Machine to machines - Machinetype communication (MTC) - Numerical results - Turbo product codes - Weighting factors;

D O I：

10.1049/tje2.12017

中图分类号：

学科分类号：

摘要：

This paper considers the design of turbo product codes (TPCs) for short and bursty packages, which is suitable for low latency machine-to-machine type communication. A new soft syndrome-based approach is proposed to compute the weighting factors in the iterative Chase–Pyndiah decoding of TPCs. A new soft syndrome estimation method is developed which has a manageable computational complexity. Numerical results show that the bit error rate performance is improved by using this simple approach for short package sizes for TPCs with high coding rates. © 2021 The Authors. The Journal of Engineering published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.

引用

页码：878 / 882