Micro-Doppler Encoding for Long-Range Drone Monitoring

2024 Eighteenth International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials 2024): Proceedings 2024
Dmytro Vovchuk, Mykola Khobzei, Vladyslav Tkach, O Eliiashiv, O Tzidki, K Grotov, Vjačeslavs Bobrovs, A Glam, Pavel Ginzburg

The massive deployment of small drones in urban airspaces calls for an immediate development of safety monitoring systems. Active solutions, such as live location reporting, are currently in use but heavily depend on continuous data connectivity, highlighting the need for reliable passive alternatives. Here we demonstrate a novel solution to tag the drone blades with electromagnetic stickers. Being driven into rotary motion, those stickers generate object-specific micro-Doppler signatures, which are interpretable by a surveillance radar from a 5km distance, while an untagged drone is barely seen from several 100s of meters.

Keywords
Doppler radar; Signal encoding; Surveillance radar; Target drones
DOI
10.1109/Metamaterials62190.2024.10703226
Hyperlink
https://ieeexplore.ieee.org/document/10703226

Vovchuk, D., Khobzei, M., Tkach, V., Eliiashiv, O., Tzidki, O., Grotov, K., Bobrovs, V., Glam, A., Ginzburg, P. Micro-Doppler Encoding for Long-Range Drone Monitoring. In: 2024 Eighteenth International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials 2024): Proceedings, Greece, Chania, 9-14 September, 2024. Piscataway: IEEE, 2024, pp.1-3. ISBN 979-8-3503-7350-9. e-ISBN 979-8-3503-7349-3. ISSN 2573-2684. e-ISSN 2573-2706. Available from: doi:10.1109/Metamaterials62190.2024.10703226

Publication language
English (en)