Semiblind Multiuser MIMO Channel Estimators Using PM and RRQR Methods
作者： Gami Hiren , M.M. Qasaymeh , Ravi Pendse , M. E. Sawan , Tayem Nizar
DOI: 10.1109/CNSR.2009.11
关键词: Channel state information 、 Algorithm 、 Computer science 、 Signal-to-noise ratio 、 Subspace topology 、 Estimator 、 Theoretical computer science 、 Block code 、 MIMO 、 Rank (linear algebra) 、 Covariance matrix
摘要: 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 estimate multiuser MIMO channels are proposed. The algorithm estimates subspace spanned by user only few training blocks extract users CSI from this subspace. Our both achieve better performance in comparison reference LS based approach. Computer simulations included validate proposed methods.
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