Title
Radar classifier for small manned air targets
Author
Premel-Cabic, G.
de Wit, J.J.M.
Cuenca, M. Caro
Publication year
2019
Abstract
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.
Subject
Defence Research
Defence, Safety and Security
Classification
Micro-Doppler
Radar
Range-Doppler
Classification (of information)
Signal to noise ratio
Classification performance
Heterogeneous sensors
Micro-Doppler
Radar components
Range doppler
Relevant target
Small aircraft
Target Classification
Radar
To reference this document use:
http://resolver.tudelft.nl/uuid:c2646c71-a561-43e1-a18e-6d6293dbe6b9
TNO identifier
871868
Publisher
Institute of Electrical and Electronics Engineers Inc.
ISBN
9782874870576
Source
EuRAD 2019 - 2019 16th European Radar Conference, 16th European Radar Conference, EuRAD 2019, 2 October 2019 through 4 October 2019, 21-24
Article number
8904484
Document type
conference paper