Title :
Automatic target classification in a low frequency FSR network
Author :
Rashid, N.E.A. ; Antoniou, M. ; Jancovic, P. ; Sizov, V. ; Abdullah, R. ; Cherniakov, M.
Author_Institution :
Univ. of Birmingham, Birmingham
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.
Keywords :
electromagnetic wave scattering; microsensors; radio networks; target tracking; VHF band; automatic target classification; ground target classification; low frequency FSR network; low-frequency forward scattering radar network; microsensor forward scattering radar wireless network; Clutter; Frequency; Parameter estimation; Radar cross section; Radar detection; Radar scattering; Sensor systems; Spaceborne radar; Unmanned aerial vehicles; Wireless sensor networks;
Conference_Titel :
Radar Conference, 2008. EuRAD 2008. European
Conference_Location :
Amsterdam
Print_ISBN :
978-2-87487-009-5
