Abstract
Direction detection is aimed at discriminating, over multiple snapshots, between a disturbance-only hypothesis and a useful-signal plus disturbance alternative with useful signals modeled in terms of a common (i.e., over different snapshots) direction of the signal subspace. We will show that generalized-likelihood ratio test (GLRT)-based direction detectors, designed assuming Gaussian noise with unknown covariance matrix plus deterministic interference, belonging to a preassigned sub- space of the observables, possess the constant false alarm rate property with respect to the unknown covariance matrix of the noise.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: 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.