Linear Propagator Algorithm for Directions of Arrival Estimation in the Presence of Mutual Coupling

Abstract

This paper proposes a new subspace-based autocalibration algorithm for Direction of Arrival (DoA) estimation under unknown mutual coupling. The proposed scheme uses only linear operations to perform DoAs estimation along with the mutual coupling parameters. Linear decomposition technique is used to estimate the propagator operator and a good results on DoAs estimation are shown. The asymptotic behavior (Cramer Rao bound (CRB)) on the variance of the estimated DoAs by the proposed algorithms is also studied. The simulation results prove that high-resolution DoAs estimation can be reached even when full mutual coupling parameters is considered and prove the validity of our approach.