Closed-Form Estimators for Blind Separation of Sources – Part I: Real Mixtures

被引：0
|
作者：
Vicente Zarzoso
Asoke K. Nandi
机构：
[1] The University of Liverpool,Signal Processing and Communications Group, Department of Electrical Engineering and Electronics
来源：
Wireless Personal Communications | 2002年 / 21卷
关键词：
blind source separation; closed-form estimators; contrast functions; higher-order statistics; independent component analysis; multiuser detection; performance analysis;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The problem of multiuser interference cancellation in wireless cellularcommunication systems accepts a blind source separation (BSS) model. Thepresent contribution studies the closed-form solutions to BSS in thereal-mixture case. Connections among a number of seemingly disparate methodsare unveiled, new procedures are put forward, and their asymptotic(large-sample) performance is analyzed. Simulation experiments illustrate andvalidate the theoretical results. Altogether, a unifying generic framework forclosed-form BSS methods is developed.
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页码：5 / 28
页数：23
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