Méthodes de traitement numérique du signal pour l'annulation d'auto-interférences dans un terminal mobile

Abstract : Radio frequency transceivers are now massively multi-standards, which meansthat several communication standards can cohabit in the same environment. As a consequence,analog components have to face critical design constraints to match the differentstandards requirements and self-interferences that are directly introduced by the architectureitself are more and more present and detrimental. This work exploits the dirty RFparadigm : we accept the signal to be polluted by self-interferences and we develop digitalsignal processing algorithms to mitigate those aforementioned pollutions and improve signalquality. We study here different self-interferences and propose baseband models anddigital adaptive algorithms for which we derive closed form formulae of both transientand asymptotic performance. We also propose an original adaptive step-size overlay toimprove transient performance of our method. We finally validate our approach on a systemon chip dedicated to cellular communications and on a software defined radio.
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Robin Gerzaguet. Méthodes de traitement numérique du signal pour l'annulation d'auto-interférences dans un terminal mobile. Traitement du signal et de l'image [eess.SP]. Université Grenoble Alpes, 2015. Français. ⟨NNT : 2015GREAT014⟩. ⟨tel-01158097v2⟩

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