Improved Soft-aided Error-and-erasure Decoding of Product Codes with Dynamic Reliability Scores

12/10/2021
by   Sisi Miao, et al.
0

We propose a novel soft-aided low-complexity decoder for product codes based on dynamic reliability scores and error-and-erasure decoding. We observe coding gains of up to 1.2 dB compared to conventional hard-decision decoders.

READ FULL TEXT

page 1

page 2

page 3

research
07/11/2022

Improved Soft-aided Decoding of Product Codes with Adaptive Performance-Complexity Trade-off

We propose an improved soft-aided decoding scheme for product codes that...
research
04/01/2022

Improved Soft-aided Decoding of Product Codes with Dynamic Reliability Scores

Products codes (PCs) are conventionally decoded with efficient iterative...
research
11/19/2019

Low Complexity Autoencoder based End-to-End Learning of Coded Communications Systems

End-to-end learning of a communications system using the deep learning-b...
research
10/18/2016

A 9.52 dB NCG FEC scheme and 164 bits/cycle low-complexity product decoder architecture

Powerful Forward Error Correction (FEC) schemes are used in optical comm...
research
01/09/2020

On Decoding Using Codewords of the Dual Code

We present novel decoding schemes for hard and soft decision decoding of...
research
08/16/2023

Soft-Information Post-Processing for Chase-Pyndiah Decoding Based on Generalized Mutual Information

Chase-Pyndiah decoding is widely used for decoding product codes. Howeve...
research
07/22/2021

High-performance low-complexity error pattern generation for ORBGRAND decoding

Guessing Random Additive Noise Decoding (GRAND) is a recently proposed d...

Please sign up or login with your details

Forgot password? Click here to reset