Low-complexity 2d central DOA estimation of coherently distributed sources with cross-correlation matrix

摘要

A low-complexity estimator for two-dimensional (2D) central direction-of-arrival (DOA) estimation of multiple coherently distributed sources is proposed, which is based on applying the singular value decomposition method to the cross-correlation matrix of the received signals at double parallel uniform linear arrays. The proposed estimator is performed with automatic parameter pairing. Simulation results confirm the efficacy of the proposed estimator.