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Blind Channel Estimation for Systems Employing Alamouti Coding

机译:采用Alamouti编码的系统的盲信道估计

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This paper presents blind channel estimation for Alamouti coding operating in time-correlated Rayleigh channels. A decision algorithm first obtains primary data estimates of the transmitted symbols based on the constrained linear minimum mean square error criterion, and these are applied to subsequent optimal minimum mean square error channel estimation. Performance is evaluated by simulation under the assumption of perfect timing, and presented against the known results of optimal coherent detection. The error performance is shown to be better than the Kalman filtering approach. The impact of finite cross correlations between the receive antennas is also investigated by simulation.
机译:本文介绍了在时间相关的瑞利信道中进行的Alamouti编码的盲信道估计。决策算法首先基于受约束的线性最小均方误差准则来获得传输符号的主数据估计,并将其应用于后续的最佳最小均方误差信道估计。通过在最佳定时的假设下通过仿真评估性能,并针对最佳相干检测的已知结果进行介绍。结果表明,其错误性能优于卡尔曼滤波方法。还通过仿真研究了接收天线之间有限互相关的影响。

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