CRC-based correction of multiple errors using an optimized lookup table

Boussard, Vivien, Coulombe, Stéphane, Coudoux, François-Xavier et Corlay, Patrick. 2022. « CRC-based correction of multiple errors using an optimized lookup table ». IEEE Access, vol. 10. pp. 23931-23947.
Compte des citations dans Scopus : 7.

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Résumé

In this paper, we propose a new approach to perform multiple error correction in wireless communications over error-prone networks. It is based on the cyclic redundancy check syndrome, using an optimized lookup table that avoids performing arithmetic operations. This method is able to achieve the same correction performance as the state-of-the-art approaches while significantly reducing the computational complexity. The table is designed to allow multiple bit error correction simply by navigating within it. Its size is constant when considering more than two errors, which represents a tremendous advantage over earlier lookup table-based approaches. Simulation results of a C implementation performed on a Raspberry Pi 4 show that the proposed method is able to process single and double error corrections of large payloads in 100 ns and 642 μs, respectively, while it would take 300 μs and 1.5 s, respectively, with the state-of-the-art CRC multiple error correction technique. This represents a speedup of nearly 3000××× for single error and 2300××× for double error correction, respectively. Compared to table-based approaches, the proposed method offers a speedup of nearly 1200××× for single error and 2300××× for double error correction under the same conditions. We also show that when multiple candidate error patterns are present, numerous errors can be corrected by adding a checksum cross-validation step.

Type de document:	Article publié dans une revue, révisé par les pairs
Professeur:	Professeur Coulombe, Stéphane
Affiliation:	Génie logiciel et des technologies de l'information
Date de dépôt:	22 mars 2022 20:39
Dernière modification:	04 oct. 2023 15:25
URI:	https://espace2.etsmtl.ca/id/eprint/24095

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