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Theses

Estimation de canal pour systèmes multi-antennes multi-porteuses

Abstract : The aim of this thesis is to study and to propose channel estimation schemes in a multiple antenna multiple carrier transmission over mobile radio channels. Channel estimation plays an important part in performance of the system and becommes essential in a multiple antennas transmission : it has to be optimized in order to keep benefits of high data rate and performance. In a MIMO-OFDM context, receiver needs to estimate MIMO channel to equalize received signal, and so more than only one channel contrary to single antenna transmission. Besides, this estimation usually needs to insert pilot symbols in frame that leads to a loss of spectral efficiency. At the transmitter, we show that construction of frame and more precisely position of pilot symbols has to take into account the number of transmit antennas. At the receiver, interpolation of channel coefficients obtained by pilot symbols or owing to estimated useful data is only efficient by considering time and/or frequency correlations. We propose several channel estimators which provide good performance towards channel selectivities and without any knowledge of channel properties. These estimators effectively process pilot symbols and can be included in an iterative receiver. Contruction of frame and proposed channel estimators are optimized under several constraints : efficiency against channel selectivities, spectral efficiency, complexity at the transmitter and at the receiver. Simulation results obtained for different MIMO systems show an improvement of classical channel estimation processes.
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https://tel.archives-ouvertes.fr/tel-00193894
Contributor : Benoît Le Saux <>
Submitted on : Wednesday, December 5, 2007 - 9:12:19 AM
Last modification on : Thursday, March 5, 2020 - 2:14:36 PM
Long-term archiving on: : Monday, April 12, 2010 - 6:08:51 AM

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  • HAL Id : tel-00193894, version 1

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Benoît Le Saux. Estimation de canal pour systèmes multi-antennes multi-porteuses. Traitement du signal et de l'image [eess.SP]. INSA de Rennes, 2007. Français. ⟨tel-00193894⟩

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