Buried ordnance detection: electromagnetic modeling of munition-mounted radio frequency identification tags

In order to improve means for locating unexploded ordnance items (UXO) and significantly discriminating UXO from clutter, it is desired to tag ordnance items before they are delivered. The munition tagging envisioned will make use of current passive radio frequency identification (RFID) tag technolo...

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Bibliographic Details
Published in:IEEE transactions on magnetics 2006-07, Vol.42 (7), p.1883-1891
Main Authors: Davis, R.J., Shubert, K.A., Barnum, T.J., Balaban, B.D.
Format: Article
Language:English
Subjects:
Buried ordnance detection
Circuits
Clutter
Coils
Cross-disciplinary physics: materials science
rheology
Design engineering
Electromagnetic modeling
Exact sciences and technology
Interrogation
Magnetic fields
magnetic modeling
Magnetism
Materials science
munitions
Ordnance
Other topics in materials science
Passive RFID tags
Physics
Radio frequency identification
Radiofrequency identification
Receivers
RFID tags
Solenoids
Studies
Tags
Technical Activities Guide -TAG
UXO
Weapons
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Summary:In order to improve means for locating unexploded ordnance items (UXO) and significantly discriminating UXO from clutter, it is desired to tag ordnance items before they are delivered. The munition tagging envisioned will make use of current passive radio frequency identification (RFID) tag technology. The tags will provide information on the munition's location and identity when the UXO tag interrogation module is brought nearby. Knowledge of the magnetic field's behavior is essential in understanding the designs required to transmit energy from the above-ground interrogator to the tag and from the tag back to the above-ground receiver. The munition, being a large metal structure in such close proximity to the tags, will affect their operation because of electromagnetic boundary conditions and the tags' specific circuitry. To this end, modeling of the magnetic fields was required. This paper presents the results of this modeling effort and includes experimental findings. The modeling efforts demonstrated that detection depths to 1 m would be achievable, provided the system is magnetically optimized.
ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2006.874468