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基于叠加训练的非合作多用户/MIMO信道估计
引用本文:何纯全,窦高奇,高 俊,黄高明.基于叠加训练的非合作多用户/MIMO信道估计[J].通信学报,2014,35(7):18-156.
作者姓名:何纯全  窦高奇  高 俊  黄高明
作者单位:海军工程大学 电子工程学院,湖北 武汉 430033
基金项目:国家高技术研究发展计划(“863”计划)基金资助项目(2011AA7014061)
摘    要:提出一种基于叠加训练的单载波非合作多用户/MIMO系统的迭代信道估计与检测方案。首先利用变换域方法构造具有零周期互相关特性的训练序列,从而消除多天线间的相互干扰,实现基于一阶统计量的信道估计。然后采用联合符号检测的迭代信道估计方法,利用检测序列作为额外的“训练序列”来降低信息序列自身干扰。与现有的叠加训练信道估计方案比较,新方案中训练序列构造更加灵活,在低信噪比下信道估计均方误差和误码率性能更优,且复杂度更低,仿真结果表明了该方案的有效性。

关 键 词:变换域序列  叠加训练  迭代信道估计与检测  多输入多输出  频率选择性信道
收稿时间:4/5/2013 12:00:00 AM

Uncoordinated multiuser/MIMO channel estimation using superimposed training
Chun-quan HE,Gao-qi DOU,Jun GAO,Gao-ming HUANG.Uncoordinated multiuser/MIMO channel estimation using superimposed training[J].Journal on Communications,2014,35(7):18-156.
Authors:Chun-quan HE  Gao-qi DOU  Jun GAO  Gao-ming HUANG
Affiliation:College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, China
Abstract:An iterative channel estimation and detection scheme is proposed for single carrier uncoordinated multi-user/multi-input multi-output (MIMO) system using superimposed training (ST). At first, the multiple antennas mutual interferences are eliminated by utilizing training sequences with all-zero cross-correlation property, which are designed based on transform domain approach. The channel estimation is performed based on first-order statistics of the observa-tions in time domain. Then a joint iterative channel estimation and symbol detection method is addressed, where the de-tected sequences are used as additional “training sequence” to reduce the self-interferences from information sequences. Compared to the existing ST schemes, the new proposed scheme has more flexible training sequences, better channel mean square error (NCMSE) and BER performance at low SNR, but retains a lower computation complexity. Simulation results corroborate the effectiveness of the new scheme.
Keywords:transform domain sequences  superimposed training  iterative channel estimation and detection  multiple-input multiple-output (MIMO)  frequency selective channel
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