基于时空极化导向矢量的阵列信号多维参数联合估计  

Joint Estimation Multidimensional Parameters of Array Signal Based on Time-Space-Polarization Steering-Vector

作　　者：贾维敏[1] 姚敏立[1] 宋建社[1] 

机构地区：[1]西安第二炮兵工程学院,西安710025

出　　处：《信号处理》2007年第6期869-872,共4页Journal of Signal Processing

基　　金：国家自然科学基金(60002002);第二炮兵科研基金资助课题

摘　　要：通过对极化敏感阵列的时域采样构造了具有旋转不变结构的矩阵对,该矩阵对分解的特征值与对应特征向量分别是旋转矩阵和阵列的时空导向矢量,利用该导向矢量和旋转矩阵直接得到信号的频率、二维波达方向和极化的联合估计,该多维参数计算方法具有虚拟阵元和较高的估计精度。简述了多维ESPRIT方法的基本原理,其配对方法采用了多个矩阵束具有相同的特征向量,两种方法均利用了的相同信息-矩阵束的特征值和特征向量,仿真实验验证和比较了两种方法的性能。This paper exploits rotation invariance of matrix pencil based on two uniform parallel polarization sensitive arrays, and eigenvalues and corresponding eigenvectors of the matrix pencil are the rotation matrix and time-space-polarization steering vector of the array, respectively, that can be used to estimate frequency, two-dimensional DOA and polarization of incident signal simultaneously. This method is of virtual array element and comparatively high resolution. Moreover,it introduces muhi-dimensional ESPRIT that many matrix pencils share the same common set of eigenvectors, two methods exploit the same information such as eigenvalues and eigenvectors of the matrix pencil. The simulation results verify and analyze the performances of two methods.

关 键 词：极化敏感阵列 阵列信号处理 导向矢量 多维参数估计 自动配对 

分 类 号：TN820[电子电信—信息与通信工程] TN911.72