An improved Chase–Pyndiah algorithm in the iterative decoding of turbo product codes. Issue 9 (2nd September 2022)

• Record Type: Journal Article
• Authors: Yang, Tao; Xi, Zhiyu; Sun, Qifu Tyler
• Is Part Of: Journal of engineering. Volume 2022:Issue 9(2022)
• Page Start: 878
• Page End: 882
• Publication Date: 2022-09-02
• Subjects: Engineering -- Periodicals; Engineering; Electronic journals; Periodicals; 620.005
• DOI: 10.1049/tje2.12017
• Languages: English
• ISSNs: 2051-3305

Abstract

Abstract: 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.