Design criteria on convergence analysis of LMS algorithms for layered space-time MIMO systems

被引：0
|
作者：
Chueh, J [1 ]
Li, YH [1 ]
Vucetic, B [1 ]
机构：
[1] Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia
来源：
GLOBECOM '04: IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-6 | 2004年
关键词：
iterative adaptive receivers; least-mean-square (LMS) algorithms; multi-input multi-output (MIMO) channels; layered space-time (LST) systems;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The stochastic gradient-based least-mean-square (LMS) algorithm has a significant feature of simple implementations. Its applications in multiple-input-multiple-output (MIMO) layered space-time (LST) systems are considered in this paper. We derive the design criteria of the adaptive iterative/decision-feedback (DFB) LMS receivers in MIMO systems. It has been found that the algorithm converges in accordance with the minimum eigenvalue of the correlation matrices where received symbols and interference estimates are the entries of two correlation matrices respectively.
引用
收藏
页码：2557 / 2561
页数：5
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