Characterization of buried targets from planar electromagnetic induction sensor data in a moving reference frame (CROSBI ID 647570)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Ambruš, Davorin ; Vasić, Darko ; Bilas, Vedran
engleski
Characterization of buried targets from planar electromagnetic induction sensor data in a moving reference frame
Handheld electromagnetic induction (EMI) sensors used for detection of buried landmines typically employ planar sensor head geometries comprised of a single transmitter and one or more receiver coils. Such configurations have dominant sensitivities oriented in a single direction and are therefore well-suited for metal detection. However, when one tries to characterize the target with a planar EMI sensor, e.g. reconstruct the parameters of an induced dipole model, the problem becomes challenging, since the target needs to be interrogated by all three orthogonal field components in order to obtain unambiguous results. Sweeping the sensor over a target helps with this issue, since the target gets magnetically illuminated from different directions, however a downside is that the sensor head position needs to be known in a ground reference frame, at each scan location. Although various solutions for sensor head position tracking have been reported, they are all more or less obtrusive when used in field conditions. Also, such systems introduce additional uncertainties, often with non-normal distributions, thus complicating inversion procedures. In this paper, we investigate an alternative approach to dipole-based target characterization, where the problem is analyzed in a moving, sensor-based reference frame by dynamically processing sensor data at each scan location using the extended Kalman filter. For a chosen planar coil geometry and scan pattern, we first analyze the basic stability of a filter, with an emphasis on its local observability. We then show how the target's magnetic polarizabilities and target-to-sensor distance can be simultaneously estimated using EMI data only.
Landmine detection, planar EMI sensor, extended Kalman filter, magnetic dipole model
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Podaci o prilogu
1-10.
2017.
objavljeno
Podaci o matičnoj publikaciji
Proc. SPIE 10182, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXII, 1018215
Steven S. Bishop ; Jason C. Isaacs
Anaheim (CA): SPIE
9781510608658
Podaci o skupu
Defense + Commercial Sensing 2017
predavanje
09.04.2017-13.04.2017
Anaheim (CA), Sjedinjene Američke Države