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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.
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Dave Tahmoush, 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