| Paper: | SPCOM-P9.1 | ||
| Session: | (Semi)blind Techniques II | ||
| Time: | Thursday, May 20, 15:30 - 17:30 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing for Communications: Space-Time/MIMO Channel Equalization | ||
| Title: | A ROBUST ALGORITHM FOR BLIND SPACE-TIME EQUALIZATION | ||
| Authors: | Magno Silva; University of São Paulo | ||
| Maria Miranda; Mackenzie University | |||
| Antonio Licciardi Jr.; Mackenzie University | |||
| Abstract: | 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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