Asymptotically optimal estimation of DOA for non-circular sources from second order moments

This paper addresses an asymptotically minimum variance (AMV) algorithm within the class of algorithms based on second-order statistics for estimating direction of arrival (DOA) parameters of possibly spatially correlated (even coherent) narrowband non-circular sources impinging on arbitrary array structures. To reduce the computational complexity due to the nonlinear minimization required by the matching approach, the covariance matching estimation techniques (COMET) are included in the algorithm. A numerical example illustrates the performance of the AMV algorithm.