Tracking and Classification of Drones and Birds at a Far Distance Using Radar Data
Published in , 2021
Abstract
The challenge in industry and academia nowadays is to classify small drones and distinguish them from the birds at distances where technologies like radar micro-Doppler, visual, acoustic and radio-frequency sensing systems are not able to detect. The paper presents a method for target tracking and classification of objects in ranges greater than 500 m. We discuss the overall architecture of the system including tracking and initial model for classification. The initial experiment and simulation show very good classification accuracy.
Cite as: V. Mehta, M. Bolic, I. Mantegh, C. Vidal, Tracking and Classification of Drones and Birds at a Far Distance Using Radar Data, NATO Conference, 2021.
Download Paper