A robust algorithm for blind space-time equalization

被引：0
|
作者：
Silva, MTM [1 ]
Miranda, MD [1 ]
Licciardi, AN [1 ]
机构：
[1] Univ Sao Paulo, PTC, EPUSP, BR-05508 Sao Paulo, Brazil
来源：
2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL IV, PROCEEDINGS: AUDIO AND ELECTROACOUSTICS SIGNAL PROCESSING FOR COMMUNICATIONS | 2004年
关键词：
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
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.
引用
收藏
页码：857 / 860
页数：4
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