电磁矢量互质阵中基于降维Capon的DOA和极化估计算法

将传统电磁矢量均匀阵列推广为电磁矢量互质阵列，突破了阵元间距不大于半波长的限制。提出了电磁矢量互质阵列中基于降维Capon的波达方向（Direction of arrival，DOA）和极化联合估计算法。该算法无需假设已知极化信息，且只需一维搜索，避免了多维搜索，可实现DOA和极化参数自动配对；与相同阵元数的均匀阵列相比，明显提高了角度估计性能，并拓展了天线孔径，具有相对较高的自由度，且降低了运算复杂度。相同阵列及参数条件下，本文算法的角度估计性能优于ESPRIT算法和三线性分解算法。

DOA and Polarization Estimation for Electromagnetic Vector Sensor Coprime Array via Reduced-Dimension Capon

This paper generalizes the traditional electromagnetic vector uniform array as an electromagnetic vector coprime array, and breaks the limit that the spacing between array elements is not more than half a wavelength. A direction of arrival (DOA) and polarization estimation algorithm is proposed for electromagnetic vector sensor coprime array via reduced-dimension Capon. The proposed algorithm does not need to assume that the polarization information is known, and only one-dimensional search is needed to avoid multi-dimensional search and enables automatic matching of DOA and polarization parameters. Compared with a uniform array with the same array element number, it significantly improves the angle estimates performance, and expands the antenna aperture. It also has a relatively high degree of freedom and lower complexity. Under the condition of same array and parameters, the angle estimation performance of the proposed algorithm is better than that of the ESPRIT algorithm and the trilinear decomposition algorithm.