Matrix Reconstruction-Based Algorithm for Two-Dimensional Coherent DOA Estimation

In this paper, an effective matrix reconstruction-based two-dimensional (2-D) direction-of-arrival (DOA) estimation algorithm is addressed. In the proposed algorithm, the coherency of incident signals is decorrelated through two equivalent covariance matrices, which are constructed by utilizing cross-correlation information of received data between the two parallel ULAs and the changing reference element. Then, the 2-D DOA estimation can be estimated by using eigenvalue decomposition (EVD) of the new constructed matrix. Compared with the previous works, the proposed algorithm can offer remarkably good estimation performance. In addition, the proposed algorithm can achieve automatic parameter pair-matching without additional computation. The theoretical analysis and simulation results demonstrate the effectiveness and efficiency of the proposed algorithm.