Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
| 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. |
| |
| Back | |