Abstract
In emitter localization by unmanned aerial vehicles (UAVs) the objective of path planning is to determine the best UAV trajectories so as to maximize the instantaneous localization performance subject to various constraints. In this paper we propose gradient based waypoint update algorithms for UAVs equipped with angle-ofarrival (AOA) and scan based sensors. The optimization criterion used by the waypoint update algorithms is to maximize the determinant of the approximate Fisher information matrix. The effectiveness of the path planning algorithms is illustrated with several computer simulations.
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.
