Poster + Paper
14 June 2023 UAV micro-Doppler recognition comparison of HeRM lines versus blade flash phenomenology
Dave Tahmoush, Ken Witham
Author Affiliations +
Conference Poster
Abstract
The radar signatures of UAVs can be analyzed with micro-Doppler signal processing to produce features that may allow classification based on size or type as well as recognition of actions. This paper explores different micro-Doppler processing approaches to create more consistent UAV micro-Doppler signatures and improve the separability of relevant UAV features. The techniques are demonstrated through theory and simulation of UAV rotor blades. The feature extraction from a blade flash phenomenology is adapted to use with HeRM line phenomenology and found to be feasible but less accurate. HeRM lines are shown to capture the radar brightness structures shown in the blade flash, and HeRM lines do allow recognition of a change in the motion.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dave Tahmoush and Ken Witham "UAV micro-Doppler recognition comparison of HeRM lines versus blade flash phenomenology", Proc. SPIE 12535, Radar Sensor Technology XXVII, 125350W (14 June 2023); https://doi.org/10.1117/12.2666269
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KEYWORDS
Unmanned aerial vehicles

Doppler effect

Radar

Feature extraction

Windows

Action recognition

Fourier transforms

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