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Pregled bibliografske jedinice broj: 1023915

Comparative Study of Planar Coil EMI Sensors for Inversion-Based Detection of Buried Objects


Ambruš, Davorin; Vasić, Darko; Bilas, Vedran
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

Profili:

Avatar Url Vedran Bilas (autor)

Avatar Url Davorin Ambruš (autor)

Avatar Url Darko Vasić (autor)

Citiraj ovu publikaciju

Ambruš, Davorin; Vasić, Darko; Bilas, Vedran
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)
Ambruš, D., Vasić, D. & Bilas, V. (2019) Comparative Study of Planar Coil EMI Sensors for Inversion-Based Detection of Buried Objects. Ieee sensors journal, PP, 1-1 doi:10.1109/JSEN.2019.2944752.
@article{article, year = {2019}, pages = {1-1}, DOI = {10.1109/JSEN.2019.2944752}, keywords = {electromagnetic induction, dipole inversion, EMI sensors, magnetic polarizability tensor, planar coils}, journal = {Ieee sensors journal}, doi = {10.1109/JSEN.2019.2944752}, volume = {PP}, issn = {1530-437X}, title = {Comparative Study of Planar Coil EMI Sensors for Inversion-Based Detection of Buried Objects}, keyword = {electromagnetic induction, dipole inversion, EMI sensors, magnetic polarizability tensor, planar coils} }
@article{article, year = {2019}, pages = {1-1}, DOI = {10.1109/JSEN.2019.2944752}, keywords = {electromagnetic induction, dipole inversion, EMI sensors, magnetic polarizability tensor, planar coils}, journal = {Ieee sensors journal}, doi = {10.1109/JSEN.2019.2944752}, volume = {PP}, issn = {1530-437X}, title = {Comparative Study of Planar Coil EMI Sensors for Inversion-Based Detection of Buried Objects}, keyword = {electromagnetic induction, dipole inversion, EMI sensors, magnetic polarizability tensor, planar coils} }

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


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