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机构地区:[1]信息工程大学信息系统工程学院,河南郑州450002
出 处:《太赫兹科学与电子信息学报》2014年第2期223-228,共6页Journal of Terahertz Science and Electronic Information Technology
摘 要:基于序列相关性提出了一种多输入多输出-正交频分复用(MIMO-OFDM)系统的时域信道估计方法。通过在OFDM符号间插入一种具有最佳相关性的实训练序列,在接收端将接收序列与训练序列作相关运算,得到信道的时域冲激响应。并通过信道阶数估计,进一步提高算法估计性能。理论分析和实验仿真结果均表明,与现有方法相比,本文方法具有更高的系统传输效率和更高的估计性能。Based on the correlation property of sequences,a time-domain channel estimation algorithm for Multi-Input Multi-Output Orthogonal Frequency Division Multiplexing(MIMO-OFDM) is proposed. The real training sequences with perfect correlation property is inserted between OFDM symbols, then the channel impulse response in time domain can be obtained by calculating the cross-correlation between the received sequences and trained sequences. The estimation performance is further improved by the estimation of channel order. The results of both theoretical analysis and experiment show that the proposed method has more excellent estimation performance with higher system transfer efficiency than the existing methods.
关 键 词:多输入多输出-正交频分复用 时域信道估计 最佳相关序列 信道阶数估计
分 类 号:TN919.3[电子电信—通信与信息系统]
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