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On the Sensitivity of the Transmit MIMO Wiener Filter With Respect to Channel and Noise Second-Order Statistics Uncertainties

机译:关于信道和噪声二阶统计不确定度的发射MIMO Wiener滤波器的灵敏度

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摘要

We consider the sensitivity of the transmit multiple-input multiple-output (MIMO) Wiener filter with respect to channel and noise second-order statistics (SOS) uncertainties. Using results from matrix perturbation theory, we derive second-order approximations to the excess mean-square error (EMSE) induced by using the channel or noise SOS estimates as if they were the true quantities. Assuming optimal training and sufficiently high signal-to-noise ratio (SNR), we develop simple and informative approximations to the EMSE, which indicate that the channel estimation errors are much more significant than the noise SOS estimation errors. Uncertainties due to channel time variations induce EMSE that increases with increasing SNR and asymptotically tends to a constant value.
机译:我们考虑了发射多输入多输出(MIMO)维纳滤波器对信道和噪声二阶统计(SOS)不确定性的敏感性。利用矩阵摄动理论的结果,我们得出对使用信道或噪声SOS估计值所引起的过量均方误差(EMSE)的二阶近似,就好像它们是真实量一样。假设最佳训练和足够高的信噪比(SNR),我们对EMSE进行了简单而有益的近似,这表明信道估计误差比噪声SOS估计误差重要得多。信道时间变化引起的不确定性会导致EMSE随SNR的增加而增加,并且渐近趋于恒定。

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