On the Robustness of Bayesian Compressive Sensing for Directions-of-Arrival Estimation
Paolo Rocca, Giacomo Oliveri, Andrea Massa · 2013
Abstract—Compressive Sensing (CS) has demonstrated to be particularly adapt for dealing with the directions-of-arrival (DoAs) estimation of electromagnetic signals impinging on an array of sensors. Unlike deterministic CS methods, the Bayesian CS (BCS) allows to overcome some theoretical limitations of the CS, such to enable a reliable and versatile DoAs estimation tool able to work with different array, noise and signals configurations. Keywords-Bayesian Compressive Sensing; directions-of-arrival estimation; planar antenna array I.