Adaptive channel SVD estimation for MIMO-OFDM systems

被引：0
|
作者：
Zamiri-Jafarian, H [1 ]
Gulak, G [1 ]
机构：
[1] Univ Toronto, Dept Elect & Comp Engn, Toronto, ON, Canada
来源：
VTC2005-SPRING: 2005 IEEE 61ST VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-5, PROCEEDINGS | 2005年
关键词：
MIMO-OFDM systems; MIMO channel estimation; SVD estimation; constrained LMS;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
In this paper we propose an adaptive estimation algorithm for channel matrix singular value decomposition (SVD) in multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. The SVD method is an efficient approach to design space-time coding/decoding and detection algorithms in MIMO-OFDM systems. However, the SVD estimation may involve complex nonlinear optimization methods. The proposed algorithm in this paper is developed based on a two-step recursive method by utilizing the linear constrained least mean square (LM) technique.
引用
收藏
页码：552 / 556
页数：5
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