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Automatic Radar Antenna Scan Type Recognition in Electronic Warfare

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2 Author(s)
Billur Barshan ; Bilkent University ; Bahaeddin Eravci

We propose a novel and robust algorithm for antenna scan type (AST) recognition in electronic warfare (EW). The stages of the algorithm are scan period estimation, preprocessing (normalization, resampling, averaging), feature extraction, and classification. Naive Bayes (NB), decision-tree (DT), artificial neural network (ANN), and support vector machine (SVM) classifiers are used to classify five different ASTs in simulation and real experiments. Classifiers are compared based on their accuracy, noise robustness, and computational complexity. DT classifiers are found to outperform the others.

Published in:

IEEE Transactions on Aerospace and Electronic Systems  (Volume:48 ,  Issue: 4 )