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Abstract: In this paper, a radar sensor is proposed for the automated detection and classification of micro unmanned aerial systems (UASs), using Doppler ...
The experiment results show that a Doppler radar sensor is able to detect and classify UASs with an accuracy above 90% based on the automated classification ...
The experiment results show that a Doppler radar sensor is able to detect and classify UASs with an accuracy above 90% based on the automated classification of ...
The micro-Doppler signature based target detection and classification approaches proposed in [69]- [77] are summarized in TABLE 4. Finally, it is worth ...
An intelligent cognitive radar system for detecting and classifying the micro unmanned aerial systems (micro UASs) and a low-complexity binarized deep ...
In this work, we propose a low-cost Doppler radar based method for detecting micro-UASs. Some of our initial research results were represented in [11], ...
This work presents a deep learning based UAV classification pipeline that uti- ... Deep learning based doppler radar for micro uas detection and classification.
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Apr 10, 2024 · [26] presented drone classification at millimeter-wave radars using deep learning techniques. The authors used a long short-term memory (LSTM) ...
(3) Pulse-Doppler radar: This type of radar emits short radio wave pulses and detects the frequency shift brought on by the motion of an unmanned aerial vehicle ...
In this chapter, full-wave electromagnetic CAD tools are used to generate radar UAV's datasets to train machine learning (ML) models. The method provides ...