Automatic radar antenna scan type recognition in electronic warfare

Date
2011-10-04
Authors
Barshan, B.
Eravci, B.
Advisor
Instructor
Source Title
IEEE Transactions on Aerospace and Electronic Systems
Print ISSN
0018-9251
Electronic ISSN
Publisher
Institute of Electrical and Electronics Engineers
Volume
48
Issue
4
Pages
2908 - 2931
Language
English
Type
Article
Journal Title
Journal ISSN
Volume Title
Abstract

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.

Course
Other identifiers
Book Title
Keywords
Naive bayes, Noise robustness, Period estimation, Resampling, Robust algorithm, Algorithms, Electronic warfare, Feature extraction, Neural networks, Radar antennas, Support vector machines
Citation
Published Version (Please cite this version)