Low complexity method for DOA estimation using array covariance matrix sparse representation

A low complexity method for direction-of-arrival (DOA) estimation via array covariance matrix sparse representation is proposed, in which DOA estimation can be cast as the sparse recovery problem of only a single measurement vector when multiple snapshots are available. Based on the Khatri-Rao product, the proposed method shows an extended-aperture and leads to a significant improvement in the resolution limit. Simulation results confirm the efficacy of the proposed method.