The propagator method for source bearing estimation
Signal Processing
Computing rank-revealing QR factorizations of dense matrices
ACM Transactions on Mathematical Software (TOMS)
Statistical Digital Signal Processing and Modeling
Statistical Digital Signal Processing and Modeling
Closed-form blind MIMO channel estimation for orthogonal space-time block codes
IEEE Transactions on Signal Processing
Minimum variance linear receivers for multiaccess MIMO wireless systems with space-time block coding
IEEE Transactions on Signal Processing
Subspace-based (semi-) blind channel estimation for block precodedspace-time OFDM
IEEE Transactions on Signal Processing
Blind adaptive space-time multiuser detection with multipletransmitter and receiver antennas
IEEE Transactions on Signal Processing
IEEE Transactions on Information Theory
Space-time block codes: a maximum SNR approach
IEEE Transactions on Information Theory
Multiple transmit antenna differential detection from generalized orthogonal designs
IEEE Transactions on Information Theory
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
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Estimating the channel state information (CSI) of several transmitters that use orthogonal space-time block codes (OSTBC) to communicate with a single receiver is considered. Based on Rank Revealing QR (RRQR) factorization and Propagator method (PM), two new algorithms to estimate multiuser MIMO channels are proposed. The algorithm estimates the subspace spanned by the user channels use only a few training blocks to extract the users CSI from this subspace. Our both algorithms achieve better performance in comparison with reference LS based approach. Computer simulations are included to validate proposed methods.