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 was presented in this paper. The signal subspace and the noise subspace are formed under eigenstructure decomposition of the space-time signal covariance matrix. By using the orthogonal properties of the two subspaces, the authors can gain a high resolution space-time spectrum. The presented method is applied 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.