电磁矢量互质阵中基于降维Capon的DOA和极化估计算法  

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

作　　者：张小飞[1] 沈金清 汪云飞 Zhang Xiaofei;Shen Jinqing;Wang Yunfei(College of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing,210016,China)

机构地区：[1]南京航空航天大学电子信息工程学院,南京210016

出　　处：《数据采集与处理》2018年第6期953-961,共9页Journal of Data Acquisition and Processing

基　　金：国家自然科学基金(61371169;61601167)资助项目

摘　　要：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。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.

关 键 词：波达方向和极化估计 电磁矢量传感器 互质阵列 降维Capon 

分 类 号：TN911.7[电子电信—通信与信息系统]