MIMO-OFDM系统空间相关性迭代信道估计算法

针对受到噪声干扰及多普勒效应等因素影响的多输入多输出（Multi-Input Multi-Output，MIMO）正交频分复用（Orthogonal Frequency Division Multiplexing，OFDM）无线系统信道估计问题，提出了一种有效的空间相关性迭代信道估计算法（SCICE）。SCICE利用同步符号与协议数据单元中的前置训练序列和中置训练序列，对信道的空间相关性进行估计，数据信息根据该信道相关性信息得到初始的信道估计值，接收端根据信道估计值进行数据符号检测，并将这些信息作为已知信息，以迭代的方式逐渐减小因空间相关性导致的信道估计误差，进而提高信道估计的准确性。与现有迭代信道估计算法的性能比较表明了提出的SCICE算法在瑞利衰落信道以及不同调制方式下具有更好的信道估计均方差与误码率性能。

Spatial correlation iterative channel estimation algorithm for MIMO-OFDM system

To channel estimation problem caused by noise interference and Doppler effect in MIMO-OFDM wireless systems,Efficient Iterative Channel Estimation（EICE） algorithm is proposed in this paper.The proposed EICE algorithm estimates channel spatial correlation by synchronize pilot symbols,preamble and midamble training symbol sequence in protocol data unit.The receiver adopts the estimated channel spatial correlation to detect data symbols.Then EICE treats the detected sig-nals as known data to perform a next state channel estimation iteratively to reduce the estimation error caused by channel spatial correlation.Simulation results and comparisons with the existed iterative channel estimation algorithm show that the proposed EICE algorithm can obtain better channel estimation performance in terms of mean square error and bit error rate in Rayleigh-fading channel.