中文说明：
MIMO雷达模型下一种子空间谱估计方法，采用过估计的方法，以避免信源数估计的问题，直接对数据协方差矩阵进行变换，从而构造了信号子空间投影矩阵和噪声子空间投影矩阵，不需要像经典的MUSIC一样对其进行特征分解，完全避开了在一般非理想情况下MUSIC算法必须面对的识别小特征值与大特征值的麻烦，降低了复杂度，而且该方法不受快拍数的影响，在相干源情况下也能准确的估计目标的入射角，不会出现伪峰。
English Description：
A subspace spectrum estimation method based on MIMO radar model adopts over estimation method to avoid the problem of source number estimation. By directly transforming the data covariance matrix, the signal subspace projection matrix and noise subspace projection matrix are constructed. It does not need to decompose the signal subspace projection matrix and noise subspace projection matrix like the classical music algorithm, and avoids the music algorithm in general non ideal cases The method has to face the trouble of identifying small eigenvalues and large eigenvalues, which reduces the complexity. Moreover, the method is not affected by the number of snapshots, and can accurately estimate the angle of incidence of the target in the case of coherent sources, without false peaks.