| 基于叠加训练序列的MIMO信道估计算法 |
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| 引用本文： | 李化,赵清华,张玮,王华奎.基于叠加训练序列的MIMO信道估计算法[J].计算机仿真,2010,27(4):92-95. |
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| 作者姓名： | 李化 赵清华 张玮 王华奎 |
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| 作者单位： | 1. 太原理工大学信息工程学院,山西,太原,030024
2. 太原理工大学信息工程学院,山西,太原,030024;太原理工大学化学化工学院,山西,太原,030024 |
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| 摘 要： | 针对提高无线信道的传输性能,提出了改进的基于叠加训练序列的MIMO信道估计算法。利用训练序列与信息序列的不相关特性,在没有带宽损失的情况下初步估计出信道参数;然后利用加权因子对信道参数在相邻信号段之间进行加权平均,得到最终的信道参数。与以往的叠加训练序列估计方法比较,利用算法具有更低的估计均方误差,且适用于时变信道。通过计算机仿真结果表明,估计方法提高了信道传输精度和性能。
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| 关 键 词： | 多输入多输出 信道估计 叠加训练序列 |
A Modified MIMO Channel Estimation Algorithm Based on Superimposed Training Sequence |
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| LI Hua,ZHAO Qing-hua,ZHANG Wei,WANG Hua-kui.A Modified MIMO Channel Estimation Algorithm Based on Superimposed Training Sequence[J].Computer Simulation,2010,27(4):92-95. |
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| Authors: | LI Hua ZHAO Qing-hua ZHANG Wei WANG Hua-kui |
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| Affiliation: | 1.College of Information Engineering/a>;Taiyuan University of Technology/a>;Taiyuan Shanxi 030024/a>;China/a>;2.College of Chemistry and Chemical Engineering/a>;China |
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| Abstract: | A Modified MIMO channel estimation algorithm based on superimposed training sequence was proposed for the frequency selective channel.In the first place,by exploiting the uncorrelation between the training and information sequences,primary channel parameters were obtained without loss of bandwidth.In the next place,accurate ultimate channel parameters were obtained by using different weight factors in neighboring channel parameters to achieve the weighted average.Compared with the existing approaches,this m... |
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| Keywords: | MIMO Channel estimation Superimposed training sequence |
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