基于高阶累积量矩阵组正交联合对角化的高分辨方位估计方法

该文提出了一种基于高阶累积量矩阵组正交联合对角化的高分辨方位估计方法。该方法构造了一组高阶累积量矩阵共同来辨识阵列流型矩阵的列空间，进而进行DOA估计。并通过对高阶累积量矩阵组进行联合对角化，得到联合对角化矩阵和对角化后的矩阵组，并重新定义了空间谱。新方法可以处理相干声源，适用于有色噪声环境，且较仅使用单个高阶累积量矩阵的算法具有更高的分辨力，更低的均方根误差和更高的鲁棒性。

DOA Estimation Method Based on Orthogonal Joint Diagonalization of High-order Cumulant

A new DOA estimation method based on orthogonal joint diagonalization of high-order cumulant is proposed. The high-order cumulant matrices are jointly utilized to DOA. Through processing high-order cumulant matrices by the new technique of orthogonal joint diagonalization, the spatial spectrum can be defined by both joint diagonalization matrix and a set of diagonal matrices. This method is also proved to process the coherent sources, and can be used in the colored noise environment. Compared to cumulant-based method using single high-order cumulant matrix, the proposed method has the higher resolution, lower RMSE and stronger robust.