Abstract
Results of simulations comparing the performance of ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques) and the MUSIC (MUltiple Signal Classification) algorithm are presented. ESPRIT exploits an underlying rotational invariance among signal subspaces induced by an array of sensors with a translational invariance structure. In contrast, the MUSIC algorithm uses intersections between the array manifold and the signal subspace to estimate the directions. ESPRIT is shown to have performance advantages over MUSIC in certain scenarios apart from its previously reported implementational advantages.
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.
