Zhao, Y., Zhang, Y. and Fioranelli, F. (2019) Initial Results of Radar-based Classification of Commercial Drone Carrying Small Payloads. In: 2019 International Radar Conference, Toulon, France, 23-27 Sept 2019, ISBN 9781728126609 (doi: 10.1109/RADAR41533.2019.171305)
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Abstract
This student paper shows preliminary results on the possibility of using radar systems to identify small payloads carried by a commercial drone. This can be of great interest for traffic monitoring and situational awareness in near-future scenarios when drones are expected to be used for parcel delivery and many other applications. In this work, we consider a distributed and rather small payload, approximately 92g, carried by a commercial drone flying back and forth. Different combinations of features extracted from the micro-Doppler signatures and dwell time have been analyzed, showing promising results with median accuracy around 80% and maximum accuracy approaching 90% for the optimal case.
| Item Type: | Conference Proceedings |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Fioranelli, Dr Francesco |
| Authors: | Zhao, Y., Zhang, Y., and Fioranelli, F. |
| College/School: | College of Science and Engineering > School of Engineering > Systems Power and Energy |
| ISSN: | 2640-7736 |
| ISBN: | 9781728126609 |
| Published Online: | 27 April 2020 |
| Related URLs: |
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