Abstract
Space-time coding schemes using multiple transmit antennas have proven efficient for transmit diversity in wireless communications. However, these schemes require channel state information (estimated through pilot signals) for the conventional space-time block decoding algorithms (such as maximum ratio combining (MRC) and minimum mean square error (MMSE)) at the receiver. Recently, blind subspace based channel estimation algorithms (without need of pilot signals) were also considered to provide the channel state information for space-time block decoding of a multicarrier CDMA (MC-CDMA) system at the receiver. In this thesis, two blind space-time de-coding (BSTD) algorithms (algorithm 1 and algorithm 2), which do not require channel state information for space-time decoding at the receiver, are proposed for the synchronous MC-CDMA system with multiple transmit and receive antennas used. The proposed algorithm 1 (or algorithm 2) is an iterative algorithm using Chi and Chen computationally efficient fast kurtosis maximization algorithm with su-per-exponential convergence rate. Some simulation results are presented to support the efficacy of the proposed BSTD algorithms. Finally, some conclusions are drawn.