Radar Recognition of Multi-Propeller Drones using Micro-Doppler Linear Spectra

Radar Recognition of Multi-Propeller Drones using Micro-Doppler Linear Spectra

Cai, Y. (Student TU Delft)
Krasnov, O.A. (TU Delft Microwave Sensing, Signals & Systems)
Yarovoy, Alexander (TU Delft Microwave Sensing, Signals & Systems)

2019-10-04

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.

CPI
Drone
Feature
Micro-Doppler
Radar

http://resolver.tudelft.nl/uuid:228e1d80-7a16-4fb0-a3ed-8ed4a42fc6c4

EuMA

2020-05-01

978-2-87487-057-6

EuRAD 2019 - 2019 16th European Radar Conference

16th European Radar Conference, 2019-10-01 → 2019-10-04, Paris, France

EuRAD 2019 - 2019 16th European Radar Conference

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.

Institutional Repository

conference paper

© 2019 Y. Cai, O.A. Krasnov, Alexander Yarovoy