Duration : 6 months.
Location : Laboratoire de Traitement et de Transport de l’Information.
- Initial training in digital communications and video coding.\\
- Good programming skills in Matlab, C+++ language.
Key words :
- SISO-OFDM, SIMO-OFDM, channel estimation, semi-blind Channel estimation, optimization.
B. Matei (LIPN); A. Mokraoui (L2TI).
Contact : A. Mokraoui (firstname.lastname@example.org)
Brief description of the subject:
In most wireless communications system, channel estimation is a crucial operation since it
is required for equalization and symbol detection. Several solutions have been developed
and can be divided into three main classes: (i) blind (using only unknown data) ,  ;
(ii) pilot-based  consuming not only a large part of the throughput but also signi cant
power resources; and (iii) semi-blind methods using both training sequences and unknown
data , .
This internship focuses on pilot-based and semi-blind channel estimation algorithms
for SISO-OFDM communications system based on Time-Of-Arrival estimation. The objective
is to show the impact of these algorithms on the quality of the transmitted video
in a realistic context. The work is organized as follows. The rst part concerns the implementation
of Decision Feedback Semi-Blind (DFSM) channel estimation and pilot-based
algorithms. The second part adresses the theoretical extension of the DFSM algorithm to
the Single-Input Multiple-Output (SIMO-OFDM) communications systems.
 K. Abed-Meraim, W. Qiu, and Y. Hua, Blind system identification," Proceedings of the
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 C. Shin, R. W. Heath, and E. J. Powers, Blind channel estimation for MIMO-OFDM
systems," IEEE Trans. on Vehicular Technology, vol. 56, no. 2, pp. 670-685, March 2007.
 O. Simeone, Y. Bar-Ness, and U. Spagnolini, \Pilot-based channel estimation for OFDM
systems by tracking the delay-subspace," IEEE Trans. on Wireless Communications, vol. 3,
no. 1, pp. 315-325, Jan 2004.
 W. Yang, Y. Cai, and Y. Xun, \Semi-blind channel estimation for OFDM systems," in IEEE
63rd Vehicular Technology Conference, vol. 1, May 2006, pp. 226-230.
 A. Ladaycia, A. Belouchrani, K. Abed-Meraim, and A. Mokraoui, \EM-based semi-blind
MIMO-OFDM channel estimation," in 2018 IEEE International Conference on Acoustics,
Speech and Signal Processing (ICASSP), April 2018, pp. 3899-3903.
(c) GdR 720 ISIS - CNRS - 2011-2018.