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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/3878

Title: Radar transmitter classification using non-stationary signal classifier
Authors: Du Plessis, MC
Olivier, JC
Keywords: Time-frequency representation
Non-stationary classification
Radar transmitter
Wavelet analysis
Pattern recognition
Issue Date: Jul-2009
Publisher: Institute of Electrical and Electronic Engineering (IEEE)
Citation: Du Plessis, MC and Olivier, JC. 2009. Radar transmitter classification using non-stationary signal classifier.
Abstract: 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 from component tolerances as small as 2% on the transmitter's modulator.
Description: Copyright: 2009 Institute of Electrical and Electronics Engineering (IEEE). Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE
URI: http://hdl.handle.net/10204/3878
Appears in Collections:Radar and electronic warfare systems
General science, engineering & technology

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