On Low-Complexity Decoding of Product Codes for High-Throughput Fiber-Optic Systems
Paper in proceedings, 2018

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.

soft-aided decoders

product codes

fiber-optic communications

bounded distance decoding

Author

Alireza Sheikh

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Alexandre Graell i Amat

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Gianluigi Liva

German Aerospace Center (DLR)

Christian Häger

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Henry D. Pfister

Duke University

IEEE International Symposium on Turbo Codes & Iterative Information Processing (ISTC). Invited paper

IEEE International Symposium on Turbo Codes & Iterative Information Processing (ISTC)
Hong Kong, Hong Kong,

Coding for terabit-per-second fiber-optical communications (TERA)

European Commission (Horizon 2020), 2017-01-01 -- 2019-12-31.

Energy-efficient optical fibre communication

Knut and Alice Wallenberg Foundation, 2014-07-01 -- 2019-06-30.

Areas of Advance

Information and Communication Technology

Subject Categories

Communication Systems

DOI

10.1109/ISTC.2018.8625279

More information

Latest update

9/8/2019 1