Pregled bibliografske jedinice broj: 843104
Spectroscopic identification of anti-personnel mine surrogates from planar sensor measurements
Spectroscopic identification of anti-personnel mine surrogates from planar sensor measurements // IEEE SENSORS 2016 Proceedings
Orlando (FL), Sjedinjene Američke Države: Institute of Electrical and Electronics Engineers (IEEE), 2016. str. 400-402 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 843104 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Spectroscopic identification of anti-personnel mine surrogates from planar sensor measurements
Autori
Marsh, Liam ; Davidson, John ; O’Toole, Michael ; Peyton, Anthony ; Ambruš, Davorin ; Vasić, Darko ; Bilas, Vedran
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
IEEE SENSORS 2016 Proceedings
/ - : Institute of Electrical and Electronics Engineers (IEEE), 2016, 400-402
ISBN
978-1-4799-8287-5
Skup
IEEE SENSORS 2016
Mjesto i datum
Orlando (FL), Sjedinjene Američke Države, 30.10.2016. - 03.11.2016
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
ERW; magnetic induction spectroscopy; UXO; detection; target classification
Sažetak
The electromagnetic response of metallic targets is known to vary as a function of frequency. In this paper we demonstrate the ability to measure these frequency-dependent variations for buried metallic targets from stand-off sensor measurements, with a focus on its potential application to humanitarian demining. A planar measurement system is presented which is capable of measuring the trans-impedance between a transmit-receive coil pair at five simultaneous frequencies. These measurements have been calibrated against a known ferrite target to yield absolute spectroscopic responses. Three targets are presented ; two surrogate anti- personnel landmines and a bullet casing. These measurements are compared with previously recorded spectra using a separate measurement system, showing an agreement in the range of 15 to 25%.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb