基于复特征值的信号二维角度联合估计  

Joint Estimation of Two-Dimensional Angle by Complex Eigenvalue

作　　者：贾维敏[1] 姚敏立[1] 宋建社[1] 

机构地区：[1]第二炮兵工程学院信息工程教研室,西安710025

出　　处：《数据采集与处理》2006年第3期256-259,共4页Journal of Data Acquisition and Processing

基　　金：国家自然科学基金(60002002)资助项目;二炮科研基金联合资助项目

摘　　要：研究了阵列信号处理中高分辨率二维波达方向联合估计,根据包含二维到达角的旋转矩阵对角线元素处于复平面的单位圆上的特点,通过构造复矩阵,其复特征值为旋转矩阵的对角线元素的正确配对的组合,方位角和俯仰角的配对由复特征值的实部与虚部自动完成,该算法不存在参量兼并,不易受噪声的影响。仿真实验验证了算法的有效性。A high-resolution direction finding method is used for determining the two-dimensional directions-of-arrival of plane waves and impinging on a serisor array. For two-dimensional direction finding, all diagonal elements of the invariance matrix are located on the unit circle of the complex plane, the complex matrix is constructed, and complex generalized eigenvalues equal to correct parameter pairs. So the method provides the joint estimation of azimuth and elevation where the correct pairing is automatically given by the real and imaginary pair of complex eigenvalues. Moreover the method does not break down if several independent signals have one-dimensional common parameters and another one is different. The performance is confirmed by simulation results.

关 键 词：阵列信号处理 波达方向估计 自动配对 复矩阵的特征分解 

分 类 号：TN911[电子电信—通信与信息系统]