Blind Channel Equalization Using Second-Order Statistics: A Necessary and Sufficient Condition

被引：0
|
作者：
A. Naveed
I.M. Qureshi
T.A. Cheema
M.A.S. Choudhry
机构：
[1] Centre for Intelligent Systems,
[2] M.A. Jinnah University,undefined
来源：
Circuits, Systems and Signal Processing | 2006年 / 25卷
关键词：
Independent Component Analysis; Observation Interval; Complex Channel; Real Channel; Blind Deconvolution;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this work the blind equalization of a single-input, multiple-output channel has been carried out using second-order statistics. A sufficient and necessary condition for blind equalization based on second order statistics has been given. It has been proved that a single autocorrelation matrix of the source symbols is sufficient for blind equalization. The proposed scheme is generalized; that is, it is valid for white as well as colored source symbols. A linear artificial neural network is developed with a learning algorithm based on the new condition. The results of the new algorithm verify its validity and superior performance.
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页码：511 / 523
页数：12
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