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Detection and Classification of Liquid Explosives Using NMR
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control.
Lund University.
King's College London, London, UK.
King's College London, London, UK.
2009 (English)In: Proceedings of the 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing: April 19 - 24, 2009, Taipei, Taiwan, 2009, 3053-3056 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this work, we present a novel method for non-invasive identification of liquids, for instance to allow for the detection of liquid explosives at airports or border controls. The approach is based on a nuclear magnetic resonance technique with an inhomogeneous magnetic field, forming estimates of the liquid's spin-spin relaxation time, T2, and diffusion constant, D, thereby allowing for a unique classification of the liquid. The proposed detectors are evaluated using both simulated and measured data sets.

Place, publisher, year, edition, pages
2009. 3053-3056 p.
Keyword [en]
detection of liquid explosives, classification, nuclear magnetic resonance
Identifiers
URN: urn:nbn:se:uu:diva-88207DOI: 10.1109/ICASSP.2009.4960268OAI: oai:DiVA.org:uu-88207DiVA: diva2:139650
Available from: 2009-01-26 Created: 2009-01-26 Last updated: 2009-05-27Bibliographically approved

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Gudmundson, Erik

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