Decoding Product Codes and Staircase Codes with Iteration-Independent Weighting Coefficients

TL;DR

This paper introduces an improved FEC decoder for product and staircase codes that outperforms existing methods by 0.23 dB and simplifies implementation by removing iteration-dependent coefficients.

Contribution

The novel decoder design achieves better performance without iteration-dependent coefficients, enhancing implementation efficiency for staircase codes.

Findings

Outperforms Chase-Pyndiah decoding by 0.23 dB

Eliminates the need for iteration-dependent coefficients

Facilitates implementation-friendly sliding-window decoding

Abstract

This paper presents an improved FEC decoder design outperforming Chase-Pyndiah decoding of product codes by $0.23$ dB. To achieve this, the decoder does not require iteration-dependent coefficients, making it implementation-friendly for sliding-window decoding of staircase codes.