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Estimating Directional Magnetic Polarizabilities of Metallic Objects Using Planar Time-Domain Electromagnetic Induction Sensor (CROSBI ID 634337)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Ambruš, Davorin ; Vasić, Darko ; Bilas, Vedran Estimating Directional Magnetic Polarizabilities of Metallic Objects Using Planar Time-Domain Electromagnetic Induction Sensor // Proceedings of the 2016 IEEE Sensors Applications Symposium (SAS 2016) / Baglio, Salvatore ; Goupta, Gourab Sen (ur.). Piscataway (NJ): Institute of Electrical and Electronics Engineers (IEEE), 2016. str. 194-198

Podaci o odgovornosti

Ambruš, Davorin ; Vasić, Darko ; Bilas, Vedran

engleski

Estimating Directional Magnetic Polarizabilities of Metallic Objects Using Planar Time-Domain Electromagnetic Induction Sensor

Directional magnetic polarizabilities are intrinsic features of metallic objects, closely related to their geometrical and material properties. They are therefore considered as key parameters for characterization and classification of metallic targets using electromagnetic induction (EMI) sensing. This paper deals with the problem of estimating time-dependent directional magnetic polarizabilities and the location of an obscure metallic target using induced voltage measurements from a planar time-domain (TD) EMI sensor. We present a modeling and parameter estimation methodology, enabling determination of a full time-decay curve of directional magnetic polarizabilities over a specified time window. Performance of the proposed estimation algorithm is evaluated in laboratory environment using our experimental planar TD EMI sensor and three metallic test samples. For a given testing scenario, the algorithm was able to correctly identify dominant magnetic polarizabilities of each target, irrespective of its location. Target positions were estimated with a minimum accuracy of ± 4 mm for x- and y-coordinates, and ± 8 mm for z-coordinates.

metal detection ; sensor modelling ; data inversion ; directional magnetic polarizabilities ; time-domain sensor

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Podaci o prilogu

194-198.

2016.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of the 2016 IEEE Sensors Applications Symposium (SAS 2016)

Baglio, Salvatore ; Goupta, Gourab Sen

Piscataway (NJ): Institute of Electrical and Electronics Engineers (IEEE)

978-1-4799-7249-4

Podaci o skupu

2016 IEEE Sensors Applications Symposium (SAS 2016)

predavanje

20.04.2016-22.04.2016

Catania, Italija

Povezanost rada

Elektrotehnika