Error Correction Decoding Algorithms of RS Codes Based on An Earlier Termination Algorithm to Find The Error Locator Polynomial

Zhengyi Jiang, Hao Shi, Zhongyi Huang, Linqi Song*, Bo Bai, Gong Zhang, Hanxu Hou*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Reed-Solomon (RS) codes are widely used to correct errors in storage systems. Finding the error locator polynomial is one of the key steps in the error correction procedure of RS codes. Modular Approach (MA) is an effective algorithm for solving the Welch-Berlekamp (WB) key-equation problem to find the error locator polynomial that needs 2t steps, where t is the error correction capability. In this paper, we first present a new MA algorithm that only requires 2e steps and then propose two fast decoding algorithms for RS codes based on our MA algorithm, where e is the number of errors and et. We propose the Improved-Frequency Domain Modular Approach (I-FDMA) algorithm that needs 2e steps to solve the error locator polynomial and present our first decoding algorithm based on the I-FDMA algorithm. We show that, compared with the existing methods based on MA algorithms, our I-FDMA algorithm can effectively reduce the decoding complexity of RS codes when e < t. Furthermore, we propose the t0-Shortened I-FDMA (t0-SI-FDMA) algorithm (t0 is a predetermined even number less than 2t - 1) based on the new termination mechanism to solve the error number e quickly. We propose our second decoding algorithm based on the SI-FDMA algorithm for RS codes and show that the multiplication complexity of our second decoding algorithm is lower than our first decoding algorithm (the I-FDMA decoding algorithm) when 2e < t0 + 1. © 2025 IEEE.
Original languageEnglish
Pages (from-to)2564-2575
JournalIEEE Transactions on Information Theory
Volume71
Issue number4
Online published6 Feb 2025
DOIs
Publication statusPublished - Apr 2025

Funding

This work was supported in part by the National Key Research and Development Program of China under Grant 2020YFA0712300, in part by the Key-Area Research and Development Program of Guangdong Province under Grant 2020B0101110003, in part by the National Natural Science Foundation of China under Grant 62371411 and Grant 12025104, in part by the Research Grants Council of Hong Kong SAR under Grant GRF 11217823, and in part by the Guangdong Basic and Applied Basic Research Foundation under Grant 2023A1515140003.

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