Performance evaluation of a channel estimator applied in SFBC MIMO systems for W-MANs
MobiMedia '06 Proceedings of the 2nd international conference on Mobile multimedia communications
On the second order statistics of generalized gamma process
IEEE Transactions on Communications
Linear diversity-embedding STBC: design issues and applications
IEEE Transactions on Communications
Training sequence optimization in MIMO systems with colored noise
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume I
Channel frequency response estimation for MIMO systems with frequency-domain equalization
EURASIP Journal on Advances in Signal Processing - Special issue on advances in single carrier block modulation with frequency domain processing
Semi-blind equalization of wireless MIMO frequency selective communication channels
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Subspace system identification for training-based MIMO channel estimation
Automatica (Journal of IFAC)
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This paper addresses the problem of training sequence design for multiple-antenna transmissions over quasi-static frequency-selective channels. To achieve the channel estimation minimum mean square error, the training sequences transmitted from the multiple antennas must have impulse-like auto correlation and zero cross correlation. We reduce the problem of designing multiple training sequences to the much easier and well-understood problem of designing a single training sequence with impulse-like auto correlation. To this end, we propose to encode the training symbols with a space-time code, that may be the same or different from the space-time code that encodes the information symbols. Optimal sequences do not exist for all training sequence lengths and constellation alphabets. We also propose a method to easily identify training sequences that belong to a standard 2m-PSK constellation for an arbitrary training sequence length and an arbitrary number of unknown channel taps. Performance bounds derived indicate that these sequences achieve near-optimum performance.