Algorithmes et Bornes minimales pour la Synchronisation Temporelle à Haute Performance : Application à l’internet des objets corporels

Abstract : Time synchronization is the first function performed by the demodulator. It ensures that the samples transmitted to the demodulation processes allow to achieve the lowest bit error rate.In this thesis we propose the study of innovative algorithms for high performance time synchronization.First, we propose algorithms exploiting the soft information from the decoder in addition to the received signal to improve the blind estimation of the time delay. Next, we develop an original algorithm based on low complexity smoothing synchronization techniques. This step consisted in proposing a technique operating in an off-line context, making it possible to estimate a random delay that varies over time on several iterations via Forward- Backward loops. The performance of such estimators exceeds that of traditional algorithms. In order to evaluate the relevance of all the proposed estimators, for deterministic and random delays, we evaluated and compared their performance to Cramer-Rao bounds that we developed within these frameworks. We, finally, evaluated the proposed algorithms on WBAN signals.
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Submitted on : Thursday, August 10, 2017 - 5:45:09 PM
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Imen Nasr. Algorithmes et Bornes minimales pour la Synchronisation Temporelle à Haute Performance : Application à l’internet des objets corporels. Informatique mobile. Université Paris-Saclay; École supérieure des communications de Tunis (Tunisie), 2017. Français. ⟨NNT : 2017SACLY007⟩. ⟨tel-01573861⟩

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