Radar classifier for small manned air targets
de Wit, J.J.M.
Cuenca, M. Caro
The ALFA project aims at timely detection, tracking, classification, and intent assessment of LSS targets. The system relies on a heterogeneous sensor suite, including radar. The objective of the radar component is sector surveillance including target classification. Since the revisit time needs to be short, classification must be done with very short time-on-target. Based on measurements, three suitable features for classification of two relevant target classes, i.e., small aircraft and helicopters, have been developed. These features exploit the targets' micro-Doppler characteristics and their evolution over time. Best classification performance is obtained by using a combination of these features and by considering the variation of the features' distributions depending on the signal-to-noise ratio. © 2019 EuMA.
To reference this document use:
Defence, Safety and Security
Classification (of information)
Signal to noise ratio
Institute of Electrical and Electronics Engineers Inc.
EuRAD 2019 - 2019 16th European Radar Conference, 16th European Radar Conference, EuRAD 2019, 2 October 2019 through 4 October 2019, 21-24