Micro-Doppler Encoding for Long-Range Drone Monitoring

D. Vovchuk*, M. Khobzei, V. Tkach, O. Eliiashiv, O. Tzidki, K. Grotov, V. Bobrovs, A. Glam, P. Ginzburg

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2024 18th International Congress on Artificial Materials for Novel Wave Phenomena, Metamaterials 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350373493
DOIs
StatePublished - 2024
Event18th International Congress on Artificial Materials for Novel Wave Phenomena, Metamaterials 2024 - Chania, Greece
Duration: 9 Sep 202414 Sep 2024

Publication series

Name2024 18th International Congress on Artificial Materials for Novel Wave Phenomena, Metamaterials 2024

Conference

Conference18th International Congress on Artificial Materials for Novel Wave Phenomena, Metamaterials 2024
Country/TerritoryGreece
CityChania
Period9/09/2414/09/24

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