基于时空结构的阵列信号三维参数同时估计方法

提出了一种针对空间非相关窄带信号源的中心频率、方位角和俯仰角三维参数的同时估计方法。该方法通过对均匀双平行线阵时域采样构造虚拟阵元，然后结合空域采样数据构造时空DOA矩阵，对DOA矩阵进行特征分解，利用分解得到的特征值和特征向量估计出信号源的三维参数。该方法不需要进行谱峰搜索，运算量小，能实现频率、方位角和俯仰角的同时估计与自动配对，具有较高的分辨率，且能估计出比阵元数多的信号源的参数，给出的计算机仿真结果证明了该方法的有效性。

A new method for simultaneous estimation of 3-D parameters of array signal based on time-space structure

A new method was presented to simultaneously estimate the azimuths elevations and center frequencies of uncorrelated narrow band signals incident on two uniform parallel linear arrays.Firstly virtual array element was constructed by temporal data,then temporal data and spatial data was to form a so_called time-space DOA matrix,three parameters could be obtained from the eigenvalues and the corresponding eigenvectors of the time-space DOA matrix respectively.This method is computationally efficient and comparatively high resolution,moreover,azimuths elevations and center frequencies of signals can be simultaneously obtained and automatically combined without spectral search.The simulation results show that the proposed method is effective.