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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Bibliographic Details
Published in:2021 29th Signal Processing and Communications Applications Conference (SIU) pp. 1 - 4
Main Authors: Ozmen, Emirhan, Ozkazanc, Yakup
Format: Conference Proceeding
Language:English
Turkish
Published: IEEE 09.06.2021
Subjects:
Antenna Scan Type Classification
Chebyshev approximation
Clustering algorithms
Deep Clustering
Deep Learning
Electronic Warfare
Radar
Radar antennas
Radar detection
Signal processing
Spirals
Online Access:Get full text
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Description
Summary: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.
DOI:10.1109/SIU53274.2021.9477860