Elektronik Harp Destek Sistemlerinde Anten Tarama Tipi Sınıflandırması
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Date
2021Author
Özmen, Emirhan
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In this study, antenna scanning types used in Electronic Warfare Support Systems were
determined by using the feature vectors obtained by different feature extraction methods
in supervised and unsupervised learning methods. The amplitude patterns of the separated
radar pulses feed into the patterns we propose and the corresponding scan type is
automatically obtained. The feature vector that provides input to supervised and
unsupervised learning models was created using different methods. Experiments on
synthetic datasets show that the proposed feature extraction technique with Long-Short
Term Memory based Autoencoder gives the best results for the problem under
consideration.