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Algorithmes de détection et de reconstruction en aveugle de code correcteurs d'erreurs basés sur des informations souples

Aurélien Bonvard 1, 2
1 Lab-STICC_IMTA_CACS_COM
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : Recent decades have seen the rise of digital communications. This has led to a proliferation of communication standards, requiring greater adaptability of communication systems. One way to make these systems more flexible is to design an intelligent receiver that would be able to retreive all the parameters of the transmitter from the received signal. In this manuscript, we are interested in the blind identification of error-correcting codes. We propose original methods based on the calculation of Euclidean distances between noisy symbol sequences. First, a classification algorithm allows the detection of a code and then the identification of its code words lenght. A second algorithm based on the number of collisions allows to identify the length of the information words. Then, we propose another method using the minimum Euclidean distances to identify block codes length. Finally, a method for reconstructing the dual code of an error-correcting code is presented.
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Submitted on : Thursday, October 22, 2020 - 1:26:07 PM
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Aurélien Bonvard. Algorithmes de détection et de reconstruction en aveugle de code correcteurs d'erreurs basés sur des informations souples. Traitement du signal et de l'image [eess.SP]. Ecole nationale supérieure Mines-Télécom Atlantique, 2020. Français. ⟨NNT : 2020IMTA0178⟩. ⟨tel-02975095⟩

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