Bibliography on cyclostationarity
Signal Processing
Transmit delay structure design for blind channel estimation over multipath channels
EURASIP Journal on Wireless Communications and Networking
A signal perturbation free whitening-rotation-based semiblind approach for MIMO channel estimation
IEEE Transactions on Signal Processing
A linear programming receiver for blind detection of full rate space-time block codes
IEEE Transactions on Signal Processing
Simplified Semi-Blind Channel Estimation for Space---Time Coded MIMO-OFDM Systems
Wireless Personal Communications: An International Journal
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In this paper, we investigate the equalization and channel identification for space-time block coded signals over a frequency-selective multiple-input multiple-output (MIMO) channel. The equalization has been considered by taking into account the cyclostationarity of space-time block coded signals. The minimum mean square error (MMSE) solutions have been derived for the linear and decision feedback (DF) equalizers. The channel estimation is required for the equalization. With known symbols (as pilot symbols), MIMO channels can be estimated. In addition, due to the redundancy induced by space-time block code, it is possible to identify MIMO channels blindly using the subspace method. We consider both blind and semi-blind channel estimation for MIMO channels. It is shown that the semi-blind channel estimate has fewer estimation errors, and it results in less (bit error rate) performance degradation of the MMSE linear and DF equalizers.