ArticleScientific reports2025
Micro-Doppler radar deception and camouflage of airborne targets.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Modular Performance Analysis of a Cascaded TDM-MIMO FMCW Radar for Short-Range Counter-UAV Sensing.Sensors (Basel, Switzerland) · 2026Article
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7 authors.
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Abstract
Micro-Doppler signatures are ubiquitous in radar-based object recognition and classification, as they contain information about the internal structure of observed targets. While modern machine learning algorithms achieve unprecedented accuracy in target classification, they are susceptible to deceptive manipulation by introducing intelligent artificial modulation to the target's backscattered echoes. Here, we present the required foundations for successful passive deception, demonstrating experimentally the ability to camouflage a drone as a helicopter in the eyes of the investigating radar while maintaining radio silence. The concept can be used, for example, to manufacture low-cost, lightweight, and low-power devices that can, as an illustrative example, make a flock of birds appear as a swarm of drones to radar-based remote sensing platforms. This concept is applicable for implementation by passive time-dependent metasurfaces.
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