A Gaussian Process model for UAV localization using millimetre wave radar

• Published in: Expert systems with applications Vol. 185; p. 115563
• Main Authors: Paredes, José A., Álvarez, Fernando J., Hansard, Miles, Rajab, Khalid Z.
• Format: Journal Article
• Language: English
• Published: New York Elsevier Ltd 15.12.2021; Elsevier BV
• Subjects: Algorithms; Doppler effect; Drone; Drones; Estimates; Gaussian process; Localization; Millimeter waves; Millimetre wave; Positioning system; Propellers; Radar; Radar data; Radar detection; Regression models; Spectrum analysis; Unmanned aerial vehicles; Visibility; Positioning system; Millimetre wave; Drone; Radar

The detection and positioning of unmanned aerial vehicles has become essential for both automation and surveillance tasks, in recent years. The design of accurate drone localization systems is challenging, especially in cluttered environments, where the target may be partially or even completely obs...