Pregled bibliografske jedinice broj: 1023915
Comparative Study of Planar Coil EMI Sensors for Inversion-Based Detection of Buried Objects
Comparative Study of Planar Coil EMI Sensors for Inversion-Based Detection of Buried Objects // Ieee sensors journal, PP (2019), 1-1 doi:10.1109/JSEN.2019.2944752 (međunarodna recenzija, članak, znanstveni)
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Naslov
Comparative Study of Planar Coil EMI Sensors for Inversion-Based Detection of Buried Objects
Autori
Ambruš, Davorin ; Vasić, Darko ; Bilas, Vedran
Izvornik
Ieee sensors journal (1530-437X) PP
(2019);
1-1
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
electromagnetic induction, dipole inversion, EMI sensors, magnetic polarizability tensor, planar coils
Sažetak
In a context of buried objects detection using electromagnetic induction (EMI), dipole inversion refers to the estimation of object’s location and magnetic polarizability tensor from EMI and sensor’s positional data. In case of planar coil sensors, dipole inversion may become a surprisingly difficult and potentially ill-posed problem due to non-uniform distribution of directional sensitivities, nonlinear nature of target localization, as well as strong correlations between tensor elements and target’s depth. In this paper, we evaluate inversion performances of two categories of planar coil sensors ; single-receiver sensors used in conventional metal detection (MD), and multi-receiver sensors aimed at metal characterization (MC). We use three different inversion methods ; nonlinear least squares (NLS), HAP method featuring novel auxiliary source model for improved object localization, and differential evolution (DE). Comparative study is performed using synthetic EMI and sensor’s positional data under realistic scenarios involving different targets, depths and signal-to-noise ratios (SNRs). Our results suggest that relatively simple planar MC sensors clearly outperform conventional MD sensors, especially at greater depths. On average, DE method notably improves the invertibility of MD sensors, while a denser scan pattern may help to tackle lower SNR at greater depths.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus