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。 In this paper, a high-resolution time-space two-dimensional signal spectrum estimation method based on eigendecomposition is proposed. The method decomposes eigenvalues ​​of time-space two-dimensional signal correlation matrix to construct signal subspace and noise subspace which are orthogonal to each other. By using the orthogonality, the high resolution space-time two-dimensional signal spectrum is obtained. The method is applied to phased array radar and can accurately extract the orientation information and velocity information of the space target. Computer simulation shows the effectiveness of the algorithm.