A robust algorithm for blind space-time equalization
Tipo
Artigo de evento
Data de publicação
2004
Periódico
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Citações (Scopus)
9
Autores
Silva M.T.M.
Miranda M.D.
Licciardi Jr. A.N.
Miranda M.D.
Licciardi Jr. A.N.
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Resumo
The efficient separation of signals is a frequent problem in multiuser communication systems. Among many algorithms to blind deconvolution of a multiple-input multiple-output (MIMO) systems, the one that utilizes higher-order cumulants has advantages in regards of convergence rate. Inspired on this algorithm and on a stochastic gradient approach, we propose an algorithm with capacity of recovering simultaneously all sources, denoted as MU-SWA (Multiuser Shalvi-Weinstein Algorithm). Based on the steady-state analysis, recently presented by Luo and Chambers for the Multiuser Constant Modulus Algorithm, we derive the expression for the mean-square error of MU-SWA. Simulation results show that MU-SWA presents a more robust behavior with respect to convergence rate and tracking capability when compared to others known algorithms for blind multiuser equalization.
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Assuntos Scopus
Constant Modulus Algorithm (CMA) , Mean-square error (MSE) , Multiple-input multiple-output (MIMO) systems , Shalvi-Weinstein Algorithm (SWA)