Atom-Constrained Gridless DOA Refinement With Wirtinger Gradients
This paper proposes gridless sparse direction-of-arrival (DOA) refinement using gradient-based optimization.The objective function minimizes the fit between the sample covariance matrix (SCM) and a reconstructed covariance matrix.The latter is constrained to contain only a few atoms, but otherwise maximally matches the SCM.This reconstruction enabl