Blind reconstruction of BCH codes based on candidate generator polynomial in random situation

Abstract A novel method for blind reconstruction of binary Bose–Chaudhuri–Hocquenghem codes is proposed. Compared to previously reported works, a new approach to find the goal generator polynomial is employed. First, using the feature that each codeword polynomial of a t ‐error‐correcting Bose–Chaudhuri–Hocquenghem code has the same 2 t consecutive roots over Galois field, a new set of candidate generator polynomials is introduced. Then, this set in a random situation to find the correct generator polynomial is investigated. Monte Carlo simulations demonstrate the superiority of the proposed reconstruction algorithm compared to the previous methods.

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Publication Details

Journal
Electronics Letters
Published
2024-12-01
DOI
https://doi.org/10.1049/ell2.70109
Primary Topic
Error Correcting Code Techniques
Type
article
Field-Weighted Citation Impact
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article

Blind reconstruction of BCH codes based on candidate generator polynomial in random situation

Masoud Sharifian Mazraeh Mollaei, Ali Sharifian Mazraeh Mollaei
Electronics Letters
Error Correcting Code Techniques
article

Blind reconstruction of BCH codes based on candidate generator polynomial in random situation

Masoud Sharifian Mazraeh Mollaei, Ali Sharifian Mazraeh Mollaei
article en

Abstract

Abstract A novel method for blind reconstruction of binary Bose–Chaudhuri–Hocquenghem codes is proposed. Compared to previously reported works, a new approach to find the goal generator polynomial is employed. First, using the feature that each codeword polynomial of a t ‐error‐correcting Bose–Chaudhuri–Hocquenghem code has the same 2 t consecutive roots over Galois field, a new set of candidate generator polynomials is introduced. Then, this set in a random situation to find the correct generator polynomial is investigated. Monte Carlo simulations demonstrate the superiority of the proposed reconstruction algorithm compared to the previous methods.

Electronics LettersVol. 60(23)
Aalto University (FI)
Openalex Percentile: Top 74%
Error Correcting Code Techniques
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