中文摘要：

结合复Givens旋转和复Shear旋转，将分离矩阵分解为多个复旋转矩阵的乘积，有效地利用旋转矩阵的结构及目标矩阵经旋转变换后相关元素的巧妙表示，将最小化F范数代价函数M题转化为一系列维数为3×3的实对称矩阵的广义特征向量求解M题，进而提出了一种基于复Givens旋转和复Shear旋转相结合的非酉联合对角化算法．仿真实验结果表明，新算法具有估计精度高、收敛性能稳定等特点．

英文摘要：

The proposed algorithm is based on the combination of complex Givens and complex Shear rotations, which decomposes the de-mixing matrix into a product of complex rotation matrices. By ingenious utilization of the structure of the complex Givens and complex Shear rotations, together with the adequate expression of the concerned variables, the minimization of the F-norm criterion function can be transformed into a sequence of problems of calculating the generalized eigenvector of two 3×3 real symmetric matrices. Numerical simulations illustrate the good performance and convergence property of the proposed algorithm.