Robust BCS-based Direction-of-Arrival and Bandwidth Estimation of Unknown Signals for Cognitive Radar

The problem of the estimation of the directions-of-arrival (DoA) and the bandwidth (BW) of wideband signals impinging on an array of electromagnetic sensors is addressed in this work. A novel strategy based on a customized implementation of the Multi- Tasks Bayesian Compressive Sensing (MT -BCS) is proposed to increase the robustness of the joint DoA-and-BW estimation, thanks to the statistical correlation of multiple frequency data samples acquired at consecutive time instants. A preliminary numerical result is reported to show the behavior and the validity of the proposed approach in case of severe noisy condition.