UPM Institutional Repository

Automatic target classification in a low frequency FSR network


Citation

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).

Abstract

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.


Download File

[img] Text (Abstract)
Automatic target classification in a low frequency FSR network.pdf

Download (33kB)
Official URL or Download Paper: https://ieeexplore.ieee.org/document/4760803/

Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
Publisher: IEEE
Keywords: Low frequency FSR network; Automatic target classification
Depositing User: Nabilah Mustapa
Date Deposited: 10 Aug 2020 02:24
Last Modified: 10 Aug 2020 02:24
URI: http://psasir.upm.edu.my/id/eprint/37777
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item