complex covariance

The algorithm transforms the complex covariance matrix into a real matrix using an unitary transformation and then the real matrix is inversed and eigen-decomposed for adaptive beamforming so it has a low computation complexity in comparison with the ESB adaptive beamforming algorithm.

该算法利用酉变换将复协方差矩阵转换为实矩阵，然后对其求逆和特征分解进行自适应波束形成，因此其运算量比ESB自适应波束形成算法小得多。

The orthogonal projection ( OP) adaptive beamforming algorithm has good performance but it is computationally expensive because of performing eigen-decomposition of the complex covariance matrix.

正交投影（OP）自适应波束形成算法性能优良，但需要进行复协方差矩阵特征分解，运算量大。

Based on the nonlinear mapping relationship between the complex non-Gaussian covariance sequence and Gaussian covariance sequence, the proposed scheme can realize specified distribution and covariance.

所提出的方案基于复数非高斯协方差序列与高斯协方差序列之间的非线性映射关系，能够实现指定的包络分布与协方差。

Due to the use of real value covariance matrix, the proposed algorithms have lower computational complexity when compared with the conventional complex value covariance matrix based MUSIC algorithm.

和传统的基于复数特征分解方法的MUSIC算法相比，我们采用实数协方差计算，所提出的酉空间的MUSIC和求根MUSIC算法具有更低的复杂度，但是具有相比拟的性能。