文中基于平行因子分析、结合高阶累积量,提出了一种信源频率、二维到达角和极化参数联合估计的新算法。该算法给出了一种新的阵列结构;接着巧妙选择特定偶极子对的输出计算四阶累积量,进而构造高维矩阵;然后基于形成的矩阵在累积量域构造平行因子分析模型,并分析了该模型低秩分解的唯一性,最后利用其分解的结果联合估计信源参数。文中算法有效减小了阵列孔径损失、避免了参数配对。最后给出的仿真结果证实了文中算法的有效性。 Based on parallel factor analysis and high-order cumulants, a new algorithm for joint estimation of source frequency, two-dimensional angle of arrival and polarization parameters is proposed. The algorithm gives a new array structure. Then, the output of a specific dipole pair is cleverly selected to calculate the fourth-order cumulants, and then a high-dimensional matrix is ​​constructed. Then, based on the matrix formed, a parallel factor analysis model is constructed The uniqueness of the low-rank decomposition of the model is analyzed. Finally, the result of the decomposition is used to estimate the source parameters. The algorithm effectively reduces the aperture loss of the array and avoids parameter matching. Finally, the simulation results confirm the validity of the proposed algorithm.