Analysis and classification of airborne radar signal types using time-frequency analysis

An electronic warfare support measure system is used by the military for intelligence gathering, threat detection, and as a support to electronic attack system. Its main feature is to determine the frequency parameters and pulse characteristics of the received radar signal. The estimated signal para...

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Main Author:	Ahmad, Ashraf Adamu
Format:	Thesis
Published:	2014
Subjects:	TK Electrical engineering Electronics Nuclear engineering
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id	my-utm-ep.48344
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spelling	my-utm-ep.483442017-07-27T02:37:06Z Analysis and classification of airborne radar signal types using time-frequency analysis 2014 Ahmad, Ashraf Adamu TK Electrical engineering. Electronics Nuclear engineering An electronic warfare support measure system is used by the military for intelligence gathering, threat detection, and as a support to electronic attack system. Its main feature is to determine the frequency parameters and pulse characteristics of the received radar signal. The estimated signal parameters are then used as input to a classifier network to determine the identity of the received signal. This project describes airborne radar type analysis and classification (ARTAC) system that uses the spectrogram to obtain the time-frequency representation (TFR) and apply analysis tools such as the instantaneous energy, instantaneous frequency and other related tools to estimate various signal parameters. The estimated parameters are used as input to the rule-based classifier which classifies the signal appropriately. Monte-Carlo simulation is then carried out to estimate the accuracy of signal classification at various signal-to-noise ratios (SNRs) in additive white Gaussian noise (AWGN). The proposed system achieves 90 percent classification accuracy at minimum SNR of 6.2dB 2014 Thesis http://eprints.utm.my/id/eprint/48344/ masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Ahmad, Ashraf Adamu Analysis and classification of airborne radar signal types using time-frequency analysis
description	An electronic warfare support measure system is used by the military for intelligence gathering, threat detection, and as a support to electronic attack system. Its main feature is to determine the frequency parameters and pulse characteristics of the received radar signal. The estimated signal parameters are then used as input to a classifier network to determine the identity of the received signal. This project describes airborne radar type analysis and classification (ARTAC) system that uses the spectrogram to obtain the time-frequency representation (TFR) and apply analysis tools such as the instantaneous energy, instantaneous frequency and other related tools to estimate various signal parameters. The estimated parameters are used as input to the rule-based classifier which classifies the signal appropriately. Monte-Carlo simulation is then carried out to estimate the accuracy of signal classification at various signal-to-noise ratios (SNRs) in additive white Gaussian noise (AWGN). The proposed system achieves 90 percent classification accuracy at minimum SNR of 6.2dB
format	Thesis
qualification_level	Master's degree
author	Ahmad, Ashraf Adamu
author_facet	Ahmad, Ashraf Adamu
author_sort	Ahmad, Ashraf Adamu
title	Analysis and classification of airborne radar signal types using time-frequency analysis
title_short	Analysis and classification of airborne radar signal types using time-frequency analysis
title_full	Analysis and classification of airborne radar signal types using time-frequency analysis
title_fullStr	Analysis and classification of airborne radar signal types using time-frequency analysis
title_full_unstemmed	Analysis and classification of airborne radar signal types using time-frequency analysis
title_sort	analysis and classification of airborne radar signal types using time-frequency analysis
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2014
_version_	1747817367311745024

Analysis and classification of airborne radar signal types using time-frequency analysis

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