鲁棒的基于几何均值分解的矢量预编码算法

上海交通大学学报（自然版） ›› 2011, Vol. 45 ›› Issue (07): 1046-1049.

• 无线电电子学、电信技术 • 上一篇下一篇

鲁棒的基于几何均值分解的矢量预编码算法

武大伟，何晨，蒋铃鸽

（上海交通大学电子信息与电气工程学院，上海 200240）

收稿日期:2010-07-26 出版日期:2011-07-29 发布日期:2011-07-29
基金资助:
国家自然科学基金资助项目（60772100，60832009，60872017），国家高技术研究发展规划（863）项目（2009AA011505）

Research on Robust GMD-Based Vector Precoding

WU Da-Wei, HE Chen, JIANG Ling-Ge

(School of Electronic, Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240, China)

Received:2010-07-26 Online:2011-07-29 Published:2011-07-29

摘要/Abstract

摘要： 针对非理想信道的多输入多输出（MIMO）系统，提出了一种鲁棒的基于几何均值分解方法的矢量预编码算法.利用非理想信道误差矩阵的二阶统计信息，以最小化收发信号的均方误差为准则，求出基于几何均值分解矢量预编码的最优扰动矢量和预编码矩阵.仿真结果表明，该鲁棒算法优于现有的基于几何均值分解矢量预编码算法性能.在高信噪比时，误码率可提高2dB以上.

关键词: , 多输入多输出, 非理想信道状态信息, 几何均值分解, 矢量预编码

Abstract: A robust vector-precoding (VP) algorithm based on geometric mean decomposition (GMD) method was proposed for multiple input multiple output (MIMO) system with imperfect channel state information (CSI). By exploiting statistical information of CSI and minimizing the mean square error of signal vectors transmitted and received, the optimal perturbation vector and precoding matrix based on GMD method were got. The simulation results show that the proposed robust GMD-VP scheme outperforms the existing methods. The performance gain is at least 2dB at high SNRs.

Key words: multiple input multiple output(MIMO), imperfect channel state information, geometric mean decomposition, vector precoding

中图分类号:

TN911.72

武大伟, 何晨, 蒋铃鸽. 鲁棒的基于几何均值分解的矢量预编码算法[J]. 上海交通大学学报（自然版）, 2011, 45(07): 1046-1049.

WU Da-Wei, HE Chen, JIANG Ling-Ge. Research on Robust GMD-Based Vector Precoding[J]. Journal of Shanghai Jiaotong University, 2011, 45(07): 1046-1049.

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鲁棒的基于几何均值分解的矢量预编码算法

Research on Robust GMD-Based Vector Precoding

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