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Radar transmitter classification using a non-stationary signal classifier


du Plessis, MC and Olivier, JC, Radar transmitter classification using a non-stationary signal classifier, International Conference on Wavelet Analysis and Pattern Recognition, 12-15 July 2009, Baoding, pp. 482-485. ISBN 978-1-4244-3728-3 (2009) [Refereed Conference Paper]

DOI: doi:10.1109/ICWAPR.2009.5207445


This paper presents a classification method which discriminates between two radar transmitters based on the received pulses. A simple radar transmitter model is presented to which a non-stationary signal classifier is applied. The classifier is a support vector machine which is applied to the radar pulse's time-frequency representation. The time-frequency representation is refined using particle swarm optimization to increase the classification accuracy. The classification accuracy is tested in an additive white Gaussian noise channel. An acceptable classification accuracy is reported for component tolerances as small as 2% on the transmitter's modulator. © 2009 IEEE.

Item Details

Item Type:Refereed Conference Paper
Research Division:Engineering
Research Group:Electrical engineering
Research Field:Electrical engineering not elsewhere classified
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in engineering
UTAS Author:Olivier, JC (Professor JC Olivier)
ID Code:78848
Year Published:2009
Deposited By:Engineering
Deposited On:2012-07-30
Last Modified:2014-11-13

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