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Spectral environment blind identification for PMR system the closer of analog receiver

Nicolas Grollier 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 : This thesis was prepared at IMT Atlantique, in the context of the FITNESS project. This European project aims to modernize PMR (Professional Mobile Radio) radios, used by security services. The objective is to develop a new receiver compatible with the 4 European standards, while adding new features. The contributions of this thesis to FITNESS concern the backwards compatibility of the new receiver with current standards. A reconfigurable central frequency channel selection filter was used to manage this interoperability. However, it should be noted that its bandwidth is too large and that several insufficiently attenuated communication channels are present at the A/D converters input. To relax linearity constraints and digitization margins, we propose to make the receiver aware of its spectral environment.The interest of this method has been developed in a first part of this document. A method for blind detection based on the cyclostationary properties of the communication signal has been proposed. We then use this tool to detect the presence of unwanted harmonics created during non-linear operation of the receiver. We show that it is possible to detect the operating mode of the receiver before the useful signal degradation. Finally, based on the two previous studies, we propose a method to automatically adapt the parameters of the analog receiver. This proof of concept based on a feedback loop allows a significant improvement in the bit error rate while relaxing constraints at the analog level.
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Nicolas Grollier. Spectral environment blind identification for PMR system the closer of analog receiver. Signal and Image processing. Ecole nationale supérieure Mines-Télécom Atlantique, 2018. English. ⟨NNT : 2018IMTA0096⟩. ⟨tel-02093526⟩

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