通过对相关矩阵进行特征值分解，估计信号子空间和噪声子空间，并利用MU S IC算法估计宽带LF M信号的波达方向。
Through estimating the signal and noise subspaces with the eigen-decomposition of the correlation matrix, the MUSIC algorithm is used to estimate the DOAs of LFM sources.
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.
提出了基于目标回波自相关矩阵本征值分解提取多目标特征的新方法。
A method extracting multiple target feature by the eigenvalues decomposition of target echo autocorrelation matrix is presented.
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