Abstract
The ability of a fully polarimetric radar to discriminate between payloads carried by UAVs is demonstrated. A novel approach has been employed in the feature extraction algorithm, where features from individual and combined polarimetric channels are extracted for classification. Decision and ensemble fusions on the respective extracted features proved to enhance the classification performance. The method is validated on experimental radar data acquired in scenarios where the UAVs carrying payloads (a quadcopter and a hexacopter) are hovering, flying back and forth, and flying along rectangular waypoints. Initial results for the fusion methods provide 90%-95% classification accuracy.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 18th European Radar Conference |
| Publisher | IEEE |
| Pages | 365-368 |
| Number of pages | 4 |
| ISBN (Electronic) | 978-2-87487-065-1 |
| ISBN (Print) | 978-1-6654-4723-2 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | The 18th European Radar Conference - London, United Kingdom Duration: 5 Apr 2022 → 7 Apr 2022 |
Conference
| Conference | The 18th European Radar Conference |
|---|---|
| Country/Territory | United Kingdom |
| City | London |
| Period | 5/04/22 → 7/04/22 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Keywords
- polarimetry
- radar
- UAVs
- payloads
- feature extraction
- classification