Emerging Trends in Radar: Drone Characterization Using Deep Learning on Micro-Doppler Data
article
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 paper 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.
TNO Identifier
1009153
ISSN
08858985
Source
IEEE Aerospace and Electronic Systems Magazine
Publisher
IEEE
Files
To receive the publication files, please send an e-mail request to TNO Repository.