基于特征分解的高分辨时—空二维信号谱估计

本文提出一种基于特征分解的高分辨时-空二维信号谱估计方法。该方法对时-空二维信号相关阵进行特征值分解,构造相互正交的信号子空间和噪声子空间,利用其正交性,得到高分辨的时-空二维信号谱。该方法用于相控阵雷达,可以精确地提取空间目标的方位信息和速度信息。计算机模拟表明了算法的有效性。

An Approach to High Resolution Space-Time Two-Dimensional Signal Spectrum Estimation Based on Eigenstructure Decomposition

Based on the eigenstructure decomposition method, a new kind of approach to high resolution space-time two dimensional signal spectrum estimation is presented in this paper. The signal subspace and the noise subspace are formed under eigenstructure decomposition of the space-time signal covariance matirx. By using the orthogonal properties of the two subspaces, we can gain a high resolution space-time spectrum. The presented method. Isapplied to phased array radars and can accurately get the information about the velocities and azimuth angles of spatial moving targets. The computer simulation results illustrate its availability.