- Published 2010

Signal-Perturbation-Free Semi-Blind Channel Estimation for<lb>MIMO-OFDM Systems Feng Wan, Ph.D.<lb>Concordia University, 2009 Multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-<lb>OFDM) has been considered as a strong candidate for the beyond 3G (B3G) wireless<lb>communication systems, due to its high data-rate wireless transmission performance.<lb>It is well known that the advantages promised by MIMO-OFDM systems rely on the<lb>precise knowledge of the channel state information (CSI). In real wireless environ-<lb>ments, however, the channel condition is unknown. Therefore, channel estimation is<lb>of crucial importance in MIMO-OFDM systems.<lb>Semi-blind channel estimation as a combination of the training-based or pilot-<lb>assisted method and the pure blind approach is considered to be a feasible solution<lb>for practical wireless systems due to its better estimation accuracy as well as spec-<lb>tral efficiency. In this thesis, we address the semi-blind channel estimation issue of<lb>MIMO-OFDM systems with an objective to develop very efficient channel estimation<lb>approaches.<lb>In the first part of the dissertation, several nulling-based semi-blind approaches<lb>are presented for the estimation of time-domain MIMO-OFDM channels. By incor-<lb>porating a blind constraint that is derived from MIMO linear prediction (LP) into a

@inproceedings{Wan2010SignalPerturbationFreeSC,
title={Signal-Perturbation-Free Semi-Blind Channel Estimation for MIMO-OFDM Systems},
author={Feng Wan},
year={2010}
}