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论文摘要

一种基于PARAFAC模型的MIMO中继系统信道估计方法

APARAFAC-basedChannelEstimationMethodforMIMORelaySystems

作者:杜建和(北京邮电大学信息与通信工程学院);袁超伟(北京邮电大学信息与通信工程学院);张金波(北京邮电大学信息与通信工程学院)

Author:Du Jianhe(SchoolofInfo.andCommunicationEng.,BeijingUniv.ofPostsandTelecommunications);Yuan Chaowei(SchoolofInfo.andCommunicationEng.,BeijingUniv.ofPostsandTelecommunications);Zhang Jinbo(SchoolofInfo.andCommunicationEng.,BeijingUniv.ofPostsandTelecommunications)

收稿日期:2014-01-10          年卷(期)页码:2014,46(4):120-125

期刊名称:工程科学与技术

Journal Name:Advanced Engineering Sciences

关键字:多输入多输出;中继;平行因子;信道估计

Key words:multiple-inputmultiple-output;relay;parallelfactor;channelestimation

基金项目:国家自然科学基金资助项目(60872149);国家高技术研究发展计划资助项目(2014AA01A701)

中文摘要

为了有效地估计2跳放大转发(AF)多输入多输出(MIMO)中继系统的信道状态信息(CSI),提出了一种基于平行因子(PARAFAC)模型的信道估计方法。在信宿,该方法通过对接收信号构造PARAFAC模型,采用所提的复值最优交替最小二乘(CALS)拟合算法就能估计出该通信系统中所有的CSI。与已有的信道估计方法相比,所提方法需要较少的信道训练数据块,具有更高的信道估计精度。仿真结果验证了所提方法的有效性。

英文摘要

A PARAFAC-based channel estimation method was proposed for two-hop amplify-and-forward (AF) multiple-input multiple-output (MIMO) relay systems. Through constructing PARAFAC model to the received signal matrices,full channel state information (CSI) involved in the communication can be estimated at the destination node by using the proposed optimal complex value alternating least-squares (CALS) algorithm.Comparison with existing approaches showed that the proposed method requires less number of training data blocks and has higher channel estimation accuracy.Simulation results demonstrated the effectiveness of the proposed channel estimation method.

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