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Pregled bibliografske jedinice broj: 843104

Spectroscopic identification of anti-personnel mine surrogates from planar sensor measurements


Marsh, Liam; Davidson, John; O’Toole, Michael; Peyton, Anthony; Ambruš, Davorin; Vasić, Darko; Bilas, Vedran
Spectroscopic identification of anti-personnel mine surrogates from planar sensor measurements // IEEE SENSORS 2016 Proceedings
Orlando, SAD: 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 / - : IEEE, 2016, 400-402

ISBN
978-1-4799-8287-5

Skup
IEEE SENSORS 2016

Mjesto i datum
Orlando, SAD, 30.10.-3.11.2016

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

Profili:

Avatar Url Vedran Bilas (autor)

Avatar Url Davorin Ambruš (autor)

Avatar Url Darko Vasić (autor)


Citiraj ovu publikaciju

Marsh, Liam; Davidson, John; O’Toole, Michael; Peyton, Anthony; Ambruš, Davorin; Vasić, Darko; Bilas, Vedran
Spectroscopic identification of anti-personnel mine surrogates from planar sensor measurements // IEEE SENSORS 2016 Proceedings
Orlando, SAD: IEEE, 2016. str. 400-402 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Marsh, L., Davidson, J., O’Toole, M., Peyton, A., Ambruš, D., Vasić, D. & Bilas, V. (2016) Spectroscopic identification of anti-personnel mine surrogates from planar sensor measurements. U: IEEE SENSORS 2016 Proceedings.
@article{article, year = {2016}, pages = {400-402}, keywords = {ERW, magnetic induction spectroscopy, UXO, detection, target classification}, isbn = {978-1-4799-8287-5}, title = {Spectroscopic identification of anti-personnel mine surrogates from planar sensor measurements}, keyword = {ERW, magnetic induction spectroscopy, UXO, detection, target classification}, publisher = {IEEE}, publisherplace = {Orlando, SAD} }
@article{article, year = {2016}, pages = {400-402}, keywords = {ERW, magnetic induction spectroscopy, UXO, detection, target classification}, isbn = {978-1-4799-8287-5}, title = {Spectroscopic identification of anti-personnel mine surrogates from planar sensor measurements}, keyword = {ERW, magnetic induction spectroscopy, UXO, detection, target classification}, publisher = {IEEE}, publisherplace = {Orlando, SAD} }




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