Antenna Scanning Type Classification with Autoencoder Based Deep Clustering

In this study, a deep learning-based algorithm is proposed for automatic detection of antenna scanning types used in EW systems. The proposed algorithm has shown better results than other algorithms in the literature.

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Vydané v:	2021 29th Signal Processing and Communications Applications Conference (SIU) s. 1 - 4
Hlavní autori:	Ozmen, Emirhan, Ozkazanc, Yakup
Médium:	Konferenčný príspevok..
Jazyk:	English Turkish
Vydavateľské údaje:	IEEE 09.06.2021
Predmet:	Antenna Scan Type Classification Chebyshev approximation Clustering algorithms Deep Clustering Deep Learning Electronic Warfare Radar Radar antennas Radar detection Signal processing Spirals
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