Iterative Ordered Statistics Decoding of Product Codes

Product codes have emerged as a key technique in optical communications. However, the conventional ChasePyndiah decoding algorithm faces challenges in achieving the high throughput required by future optical transport networks. Consequently, research efforts have focused on optimizing hard decision...

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Bibliographic Details
Published in:2023 12th International Symposium on Topics in Coding (ISTC) pp. 1 - 5
Main Authors: Shen, Yifei, Ren, Yuqing, Burg, Andreas
Format: Conference Proceeding
Language:English
Published: IEEE 04.09.2023
Subjects:
Decoding
Encoding
hard decision decoding (HDD)
Iterative algorithms
iterative bounded distance decoding (iBDD)
iterative ordered statistics decoding (iOSD)
optical communications
Optical fiber networks
Product codes
Simulation
Throughput
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Summary:Product codes have emerged as a key technique in optical communications. However, the conventional ChasePyndiah decoding algorithm faces challenges in achieving the high throughput required by future optical transport networks. Consequently, research efforts have focused on optimizing hard decision decoding algorithms, such as iterative bounded distance decoding (iBDD). In this paper, we propose an iterative ordered statistics decoding (iOSD) algorithm that adopts OSD to decode component codes based on fixed soft messages. We introduce the bounded OSD technique and integrate additional iBDD iterations to mitigate error propagation and correct residual errors. Simulation results show that the proposed iOSD can achieve the error-correction performance of Chase-Pyndiah decoding.
DOI:10.1109/ISTC57237.2023.10273466