Automatic target classification in a low frequency FSR network

This paper presents the evaluation of a low-frequency Forward Scattering Radar (FSR) network for the classification of ground targets. The experimental results of automatic targets classification for different operational frequencies are presented and discussed. The possibility of target recognition...

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Main Authors: Abdul Rashid, Nur Emileen, Antoniou, Michail, Jancovic, Peter, Sizov, Vladimir, Raja Abdullah, Raja Syamsul Azmir, Cherniakov, Mike
Format: Conference or Workshop Item
Language:English
Published: IEEE 2008
Online Access:http://psasir.upm.edu.my/id/eprint/37777/
http://psasir.upm.edu.my/id/eprint/37777/1/Automatic%20target%20classification%20in%20a%20low%20frequency%20FSR%20network.pdf
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author Abdul Rashid, Nur Emileen
Antoniou, Michail
Jancovic, Peter
Sizov, Vladimir
Raja Abdullah, Raja Syamsul Azmir
Cherniakov, Mike
author_facet Abdul Rashid, Nur Emileen
Antoniou, Michail
Jancovic, Peter
Sizov, Vladimir
Raja Abdullah, Raja Syamsul Azmir
Cherniakov, Mike
author_sort Abdul Rashid, Nur Emileen
building UPM Institutional Repository
collection Online Access
description This paper presents the evaluation of a low-frequency Forward Scattering Radar (FSR) network for the classification of ground targets. The experimental results of automatic targets classification for different operational frequencies are presented and discussed. The possibility of target recognition is shown for system operating frequencies in the VHF band.
first_indexed 2025-11-15T09:38:38Z
format Conference or Workshop Item
id upm-37777
institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T09:38:38Z
publishDate 2008
publisher IEEE
recordtype eprints
repository_type Digital Repository
spelling upm-377772020-08-10T02:24:18Z http://psasir.upm.edu.my/id/eprint/37777/ Automatic target classification in a low frequency FSR network Abdul Rashid, Nur Emileen Antoniou, Michail Jancovic, Peter Sizov, Vladimir Raja Abdullah, Raja Syamsul Azmir Cherniakov, Mike This paper presents the evaluation of a low-frequency Forward Scattering Radar (FSR) network for the classification of ground targets. The experimental results of automatic targets classification for different operational frequencies are presented and discussed. The possibility of target recognition is shown for system operating frequencies in the VHF band. IEEE 2008 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/37777/1/Automatic%20target%20classification%20in%20a%20low%20frequency%20FSR%20network.pdf Abdul Rashid, Nur Emileen and Antoniou, Michail and Jancovic, Peter and Sizov, Vladimir and Raja Abdullah, Raja Syamsul Azmir and Cherniakov, Mike (2008) Automatic target classification in a low frequency FSR network. In: 5th European Radar Conference (EuRAD 2008), 30-31 Oct. 2008, Amsterdam, The Netherlands. (pp. 68-71). https://ieeexplore.ieee.org/document/4760803/
spellingShingle Abdul Rashid, Nur Emileen
Antoniou, Michail
Jancovic, Peter
Sizov, Vladimir
Raja Abdullah, Raja Syamsul Azmir
Cherniakov, Mike
Automatic target classification in a low frequency FSR network
title Automatic target classification in a low frequency FSR network
title_full Automatic target classification in a low frequency FSR network
title_fullStr Automatic target classification in a low frequency FSR network
title_full_unstemmed Automatic target classification in a low frequency FSR network
title_short Automatic target classification in a low frequency FSR network
title_sort automatic target classification in a low frequency fsr network
url http://psasir.upm.edu.my/id/eprint/37777/
http://psasir.upm.edu.my/id/eprint/37777/
http://psasir.upm.edu.my/id/eprint/37777/1/Automatic%20target%20classification%20in%20a%20low%20frequency%20FSR%20network.pdf