A Signal-Subspace-Based ESPRIT-Like Algorithm for Coherent DOA Estimation

To consider the problem of DOA (Direction-Of-Arrival) estimation in coherent environment, the most important issue is to try to eliminate the rank loss of the spatial covariance matrix. In this paper, the influence of coherent signals on the DOA estimation algorithm is analyzed. Then a signal-subspace based ESPRIT-Like algorithm is proposed. In the end, the simulation results demonstrate validity of proposed algorithm.