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Estimation de canal pour les systèmes OTFS

Rabah Ouchikh 1 Thierry Chonavel 2, 3 Abdeldjalil Aissa El Bey 2, 4 Mustapha Djeddou 1 
3 Lab-STICC_MATRIX - Equipe Models and AlgoriThms for pRocessIng and eXtracting information
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance : UMR6285
4 Lab-STICC_COSYDE - Equipe Communication System Design
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance : UMR6285
Abstract : This paper proposes two iterative algorithms of channel estimation and data detection for OTFS systems involving an MCMC approach with the Gibbs sampler and a variational mean-field approximation via the so-called VB-EM algorithm, respectively. Data detection step is done using a low complexity MP algorithm. Complexity and performance analysis in terms of BER and NMSE of the proposed solution are compared to the literature benchmark.
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https://hal-imt-atlantique.archives-ouvertes.fr/hal-03685638
Contributor : Abdeldjalil Aïssa-El-Bey Connect in order to contact the contributor
Submitted on : Thursday, June 2, 2022 - 11:39:14 AM
Last modification on : Friday, August 5, 2022 - 2:54:52 PM

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  • HAL Id : hal-03685638, version 1

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Rabah Ouchikh, Thierry Chonavel, Abdeldjalil Aissa El Bey, Mustapha Djeddou. Estimation de canal pour les systèmes OTFS. XXVIII Colloque Francophone de Traitement du Signal et des Images GRETSI, Sep 2022, Nancy, France. ⟨hal-03685638⟩

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