On Low-Complexity Decoding of Product Codes for High-Throughput Fiber-Optic Systems

Published

Journal Article

© 2018 IEEE. We study low-complexity iterative decoding algorithms for product codes. We revisit two algorithms recently proposed by the authors based on bounded distance decoding (BDD) of the component codes that improve the performance of conventional iterative BDD (iBDD). We then propose a novel decoding algorithm that is based on generalized minimum distance decoding of the component codes. The proposed algorithm closes over 50% of the performance gap between iBDD and turbo product decoding (TPD) based on the Chase-Pyndiah algorithm at a bit error rate of 10-5. Moreover, the algorithm only leads to a limited increase in complexity with respect to iBDD and has significantly lower complexity than TPD. The studied algorithms are particularly interesting for high-throughput fiberoptic communications.

Full Text

Duke Authors

Cited Authors

  • Sheikh, A; GraellAmat, A; Liva, G; Häger, C; Pfister, HD

Published Date

  • January 23, 2019

Published In

Volume / Issue

  • 2018-December /

Electronic International Standard Serial Number (EISSN)

  • 2165-4719

International Standard Serial Number (ISSN)

  • 2165-4700

Digital Object Identifier (DOI)

  • 10.1109/ISTC.2018.8625279

Citation Source

  • Scopus