Small Target Detection in a Radar Surveillance System Using Contractive Autoencoders

With the rapid development of unpiloted aerial vehicles (UAVs), also known as drones, in recent years, the need for surveillance systems that are able to detect drones has grown as well. Radar is the technology with the potential to fulfill this task, and several previous publications show examples...

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Vydané v:	IEEE transactions on aerospace and electronic systems Ročník 60; číslo 1; s. 51 - 67
Hlavní autori:	Wagner, Simon, Johannes, Winfried, Qosja, Denisa, Bruggenwirth, Stefan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.02.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Autoencoder Background noise Chirp Drone aircraft drone detection Drone vehicles Drones False alarms Machine learning Radar Radar antennas Radar cross-sections Radar detection radar surveillance Surveillance Surveillance radar Surveillance systems Target detection Unmanned aerial vehicles
ISSN:	0018-9251, 1557-9603
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