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基于叠加训练序列的MIMO信道辨识

MIMO Channel Estimation Using Superimposed Training Sequence
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摘要 信道状态信息(CSI)对于无线通信来说至关重要,而叠加训练序列的信道估计方法由于不占用额外的信号带宽和具有较高的估计精度而受到人们的注意。从接收信号的一阶统计量入手,并且在训练序列为PN序列下,利用循环To-eplitz矩阵的特性,得到了信道估计的算法。仿真实验的结果表明,这种算法不需要矩阵求逆、计算量小,估计精度高,有很大的实际应用前景。 Channel State Information （CSI） is of great importance to wireless communications. Due to its virtue of not taking any extra signal spectral and having high accuracy,superimposed pilot-based channel estimation method has received wide considerations. this paper analyzed the first - order statistics of receive data＇s sequences and deduced a channel estimation algorithm using the property of circulant Toeplitz matrix when using PN sequences as training sequences. Simulation results show that while the algorithm needs no matrix inverse and has little computation load it acquires high estimation accuracy.
作者 齐祥明 许道峰
机构地区 东南大学
出处 《现代电子技术》 2006年第7期1-3,共3页 Modern Electronics Technique
基金 国家自然科学基金(60272046) 国家863计划重大项目(2002AA123031 201AA123015)资助
关键词 叠加训练序列 一阶统计量 循环Toeplitz 信道状态信息(CSI) superimposed training sequence first-order statistics circulant Toeplitz Channel State Infomation（CSI）
分类号 TN911.5 [电子电信—通信与信息系统]
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参考文献7

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二级参考文献8

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现代电子技术
2006年 第7期

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