MIMO channel estimation: Optimal training and tradeoffs between estimation techniques

被引：33

作者：

Biguesh, M ^{[1
]}

Gershman, AB ^{[1
]}

机构：

[1] Univ Duisburg Essen, Dept Commun Syst, D-47058 Duisburg, Germany

来源：

2004 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-7 | 2004年

关键词：

D O I：

10.1109/ICC.2004.1313013

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Channel estimation in multiple-input multiple-output (MIMO) wireless communication systems plays a key role as the performance of space-time decoders depends on how accurate the channel knowledge is. In this paper, we study the performance of MIMO channel estimation using training sequences. The least squares (LS), minimum-mean-square error (MMSE), and a new scaled LS (SLS) approaches to the channel estimation are studied and the optimal choice of training signals is investigated for each of these techniques.

引用

页码：2658 / 2662

页数：5

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