On linear predictors for MIMO channels and related blind identification and equalization

被引：23
|
作者：
Tugnait, JK [1 ]
机构：
[1] Auburn Univ, Dept Elect Engn, Auburn, AL 36849 USA
来源：
IEEE SIGNAL PROCESSING LETTERS | 1998年 / 5卷 / 11期
基金：
美国国家科学基金会;
关键词：
blind equalization; blind identification; multichannel linear prediction; multiple-input multiple-output channels;
D O I：
10.1109/97.728470
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Existence of finite-length one-step linear predictors plays a key role in several existing algorithms for blind identification and equalization of multiple-input multiple-output (MIMO) systems. An upper bound on the length of the predictor is known for the case when the underlying MIMO transfer function is irreducible and column-reduced. When the MIMO transfer function is irreducible but not necessarily column-reduced, it is known that a finite-length linear predictor exists: however, its length has not been specified in the literature, An upper bound on the length of a linear predictor for MIMO systems with irreducible transfer functions is derived in this letter.
引用
收藏
页码：289 / 291
页数：3
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