Convolutional Neural Networks for Classification of Drones Using Radars

The ability to classify drones using radar signals is a problem of great interest. In this paper, we apply convolutional neural networks (CNNs) to the Short-Time Fourier Transform (STFT) spectrograms of the simulated radar signals reflected from the drones. The drones vary in many ways that impact t...

Full description

Bibliographic Details

Published in:	Drones
Main Authors:	Divy Raval, Emily Hunter, Sinclair Hudson, Anthony Damini, Bhashyam Balaji
Format:	Article
Language:	English
Published:	MDPI AG 2021-12-01
Subjects:	drone classification CNN machine learning HERM lines micro-Doppler radars
Online Access:	https://www.mdpi.com/2504-446X/5/4/149