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Contribution à l'étude de l'échantillonnage non uniforme dans le domaine de la radio intelligente.

Abstract : In this work we consider the problem of designing an effective sampling scheme for sparse multi-band signals. Based on previous results on periodic non-uniform sampling (Multi-Coset) and using the well known Non-Uniform Fourier Transform through Bartlett’s method for Power Spectral Density estimation, we propose a new sampling scheme named the Dynamic Single Branch Non-uniform Sampler (DSB-NUS). The idea of the proposed scheme is to reduce the average sampling frequency, the number of samples collected, and consequently the power consumption of the Analog to Digital Converter (ADC). In addition to that our proposed method detects the location of the bands in order to adapt the sampling rate. In this thesis, we show through simulation results that compared to existing multi-coset based samplers, our proposed sampler provides superior performance, both in terms of sampling rate and energy consumption. It is notconstrained by the inflexibility of hardware circuitry and is easily reconfigurable. We also show the effect of the false detection of active bands on the average sampling rate of our new adaptive non-uniform sub-Nyquist sampler scheme.
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Submitted on : Wednesday, June 1, 2016 - 10:14:06 AM
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  • HAL Id : tel-01324511, version 1


Samba Traore. Contribution à l'étude de l'échantillonnage non uniforme dans le domaine de la radio intelligente.. Autre. CentraleSupélec, 2015. Français. ⟨NNT : 2015CSUP0023⟩. ⟨tel-01324511⟩



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