中文说明：将任意阵列输出数据的协方差矩阵进行特征分解，从而得到与信号分量相对应的信号子空间和信号分量相正交的噪声空间，然后利用这两个子空间的正交性来估计信号的参数，理想状况下，数据子空间与噪声子空间是正相交的。本代码中所用的阵列阵元数量12个，阵元间距0.5米，信噪比40，两个信源信号，用MUSIC算法恢复出信号。
English Description：
The covariance matrix of the output data of any array is eigendecomposed to obtain the signal subspace corresponding to the signal component and the noise subspace orthogonal to the signal component. Then, the orthogonality of the two subspaces is used to estimate the parameters of the signal. Ideally, the data subspace and the noise subspace are orthogonal. The number of array elements used in this code is 12, the distance between elements is 0.5m, the signal-to-noise ratio is 40, two source signals are recovered by music algorithm.