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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
