Identifying whether a drone is being used for recreational or malicious purposes, a process referred here as drone characterization, is essential for ensuring security, safety, and privacy. One of the most effective methods for this is applying deep learning to the drone's micro-Doppler spectrogram captured by radar. This article reviews current trends and future advancements in this field, focusing on less-explored deep learning approaches that have the potential for significant impact, rather than revisiting the more commonly discussed topics in the existing literature.
Emerging Trends in Radar: Drone Characterization Using Deep Learning on Micro-Doppler Data
IEEE Aerospace and Electronic Systems Magazine ; 40 , 6 ; 48-53
2025-06-01
2111055 byte
Article (Journal)
Electronic Resource
English
Multi-Frequency Micro-Doppler Based Classification Of Micro-Drone Payload Weight
BASE | 2021
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