Abstract
This paper proposes to perform radar recognition of multi-propeller drones using micro-Doppler linear spectral pattern in long Doppler coherent processing interval (CPI) circumstances. It focuses on the investigation of the influence of geometry design and motion variables, such as blade number, blade shape, drone’s design geometry and propeller synchronisation, on the micro-Doppler spectral pattern. We propose suitable scalar features for the characterisation of these patterns measured within a long (relatively to propellers rotation period) CPI. A thin-wire model was used to simulate drones micro-Doppler spectra for various input variables. Proposed features are extracted from the simulated micro-Doppler spectra for further processing in a support vector machine (SVM), with the purpose of demonstrating the radar recognition of multi-propeller drones based on these features.
Original language | English |
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Title of host publication | EuRAD 2019 - 2019 16th European Radar Conference |
Publisher | EuMA |
Pages | 185 – 188 |
Number of pages | 4 |
ISBN (Electronic) | 9782874870576 |
ISBN (Print) | 978-2-87487-057-6 |
Publication status | Published - 4 Oct 2019 |
Event | 16th European Radar Conference: in the framework of the European Microwave Week 2019 - Paris, France Duration: 1 Oct 2019 → 4 Oct 2019 https://www.eumweek.com/conferences/eurad.html |
Publication series
Name | EuRAD 2019 - 2019 16th European Radar Conference |
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Conference
Conference | 16th European Radar Conference |
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Abbreviated title | EuRAD 2019 |
Country/Territory | France |
City | Paris |
Period | 1/10/19 → 4/10/19 |
Internet address |
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-care Otherwise 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
- CPI
- Drone
- Feature
- Micro-Doppler
- Radar