Two-Dimensional DOA Estimation of Coherent Signals Based on 2D Unitary ESPRIT Method
Jian Chen, Shuxun Wang, Lin Lin · 2006
Based on URA, using 2-D spatial smoothing method, a novel method of 2-D DOA estimation under multipath environment is proposed. Using the EVESPA method to estimate the general steer matrix and do 2-D spatial smoothing with the matrix to get general smoothed covariance matrix, and then, the 2-D DOA estimations are computed by 2D unitary ESPRIT method. Without spectral peak searching, these methods can group the 2-D DOAs according the different users and pair the 2-D angles automatically. The method can estimate [min (M/N)-1]times[min(M/N)/2] directions at most. The effectiveness of our methods is demonstrated through some simulation examples