本文提出一种基于相关矩阵列矢量平均的信道估计算法，该算法不需要特征分解或跟踪。
A new method based on column vector average of the autocorrelation matrix without eigendecomposition is presented to estimate the channel vector.
在不求出DOA的情况下，采用离散傅里叶变换来估计该路径下行信道协方差矩阵。
DFT is used to estimate the covariance matrix of downlink channel of the path, not calculating DOA.
与传统解码的算法不同，该算法无需在发送端进行信道相关矩阵的估计和预编码，降低了发送端的编码复杂度。
Compared to the traditional decoding algorithms, the proposed scheme is no need to estimate the correlation matrix of the channel and pre-code at the transmitter, and its coding complexity is reduced.
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