Contributions à l'estimation des paramètres du canal MIMO

Abstract : The use of MIMO technology in wireless communications has been increasing remarkably in the last years. By employing multiple transmit and receive antennas, the technology provides a plenty of benefits that allow dealing with the challenges posed by the impairments in the wireless channel, especially multipath fading. It provides several important performance gains such as antenna gain, diversity gain, and multiplexing gain. Several wireless channels exhibit sparsity and clustering of the propagating signals. Such properties characterize channels for different wireless communication technologies. In this thesis, a class of clustered MIMO channel models is considered, where channel multipath components are modeled as clusters of multirays around mean delays, with each cluster characterized by its mean delay and delay spreading. The research work is focused on estimating these time domain parameters. For the mean delay parameter estimation, two approaches are proposed, a compressive sensing based approach and a subspace based approach, based on a deterministic treatment of the channel. A subspace based approach is then proposed to estimate the standard deviation of delay spreading parameter, based on a stochastic description of the channel. Estimation results are illustrated through computer simulations.
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Submitted on : Thursday, September 19, 2019 - 4:25:11 PM
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Ali Mohydeen. Contributions à l'estimation des paramètres du canal MIMO. Electronics. UNIVERSITE DE NANTES, 2019. English. ⟨tel-02292333⟩

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