Abstract: Multiple-Input Multiple-Output (MIMO) communications improve the data rates and the robustness of a wireless link by using the spatial diversity of the propagation channel. Because of its high performances, MIMO systems are the catalyst for the next revolution in wireless systems and would play a key role for the development of future networks (IEEE 802.16e, IEEE 802.11n) and cell phones standards. In this PhD thesis, we investigate the problem of the blind recognition of the MIMO parameters under a non-cooperative environment i.e. when the transmitter parameters, the propagation channel and the noise level are unknown at the receiver side. This context occurs in various civilian and military situations. Assuming that the synchronisation has been previously performed, we propose new algorithms devoted to the blind recognition of the number of transmitters antennes, of the space-time coding and of the modulation.
►JOURNALS:- V. Choqueuse, A. Mansour, G. Burel, L. Collin, K. Yao " Blind channel estimation for space time coded signal using high order statistics", IEEE Transaction on Wireless Communication, Under Revision.
- E. AL-Ahmar, M.E.H Benbouzid, Y. Amirat, V. Choqueuse, J. El-Assad, R. Karam and F. Sarkis "Advanced Signal Processing Techniques for Fault Detection and Diagnosis of a Wind Turbine Induction Generator Drive Train: A Comparative Study", Accepted IEEE ECCE 2010, Atlanta, USA, 2010
- E. Al-Ahmar,Y. Amirat, V. Choqueuse and M.E.H. Benbouzid "A Comparative Study of Advanced Signal Processing Techniques for the Condition Monitoring of DFIG-Based Wind Turbines", Accepted ICIEM 2010, Alger, Algeria.
- Y. Amirat, V. Choqueuse and M.E.H Benbouzid "Failure Detection and Diagnosis in DFIG-Based Wind Turbines Using Generator Current Amplitude Demodulation", Accepted ICIEM 2010, Alger, Algeria
V. Choqueuse, K. Yao, L. Collin and G. Burel "Blind detection of the number of communication signals by ICA and KS test", IEEE ICASSP, Las Vegas, USA, pp: 2397-2400, 2008.- S. Busson, R. Nicol, V. Choqueuse, P. Vovor, V. Lemaire and F. Clérot "Modélisation des HRTF par réseaux de neurones: Classification, Métrologie et Traitement du signal", Congres de la société francaise d'acoustique (CFA), Tours, 2006.


