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

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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 languageEnglish
Title of host publicationEuRAD 2019 - 2019 16th European Radar Conference
PublisherEuMA
Pages185 – 188
Number of pages4
ISBN (Electronic)9782874870576
ISBN (Print)978-2-87487-057-6
Publication statusPublished - 4 Oct 2019
Event16th European Radar Conference: in the framework of the European Microwave Week 2019 - Paris, France
Duration: 1 Oct 20194 Oct 2019
https://www.eumweek.com/conferences/eurad.html

Publication series

NameEuRAD 2019 - 2019 16th European Radar Conference

Conference

Conference16th European Radar Conference
Abbreviated titleEuRAD 2019
CountryFrance
CityParis
Period1/10/194/10/19
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

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