Robustified Estimators of Radar Elevation Angle Using a Specular Multipath Model

We consider the problem of estimating the elevation angle in the presence of multipath. The proposed method belongs to the class of maximum-likelihood-like estimators and employs a modified specular reflection model that accounts for the uncertainty of the steering vector by assuming that they are subject to unknown deterministic perturbations with bounded norms. The analysis, performed using convex optimization methods, allows us to obtain computationally efficient implementations of the approach. Real-world results and computer simulations confirm the improved behavior of the proposed robustified estimators.