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

页码：552 / 556

页数：5

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