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Proceedings Paper

Wideband electromagnetic induction for metal-target identification: theory, measurement, and signal processing
Author(s): Norbert Geng; Phil Garber; Leslie M. Collins; Lawrence Carin; David Hansen; Dean A. Keiswetter; I. J. Won
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Paper Abstract

A principal problem with traditional, narrowband EMI sensors involves target identification. As a consequence, in minefield or unexploded ordinance (UXO) detection, for example, each piece of buried metal must be excavated, causing significant false alarms in regions littered with anthropic clutter. Therefore, the principal challenge for the next generation of EMI sensors is development of electronics and algorithms which afford discrimination. To this end, in this paper we operate in the frequency domain, considering wideband excitation and utilize the complex, frequency-dependent EMI target response as a signature. To test the signature variability of different metal types and target shapes, as well as for calibration of an actual sensor, we have developed a full-wave model for the analysis of wideband EMI interaction with highly (but not perfectly) conducting and permeable targets. In particular, we consider targets which can be characterized as a body of revolution, or BOR. The numerical algorithm is tested through use of a new wideband EMI sensor, called the GEM-3. It is demonstrated that the agreement between measurements and theory is quite good. Finally, we consider development of signal processing algorithms for the detection and identification of buried conducting and permeable targets, using wideband data. The algorithms are described and then tested on data measured using the GEM-3, with results presented in the form of contour plots as a function of the number of discrete frequencies employed.

Paper Details

Date Published: 4 September 1998
PDF: 10 pages
Proc. SPIE 3392, Detection and Remediation Technologies for Mines and Minelike Targets III, (4 September 1998); doi: 10.1117/12.324223
Show Author Affiliations
Norbert Geng, Duke Univ. (Germany)
Phil Garber, Duke Univ. (United States)
Leslie M. Collins, Duke Univ. (United States)
Lawrence Carin, Duke Univ. (United States)
David Hansen, Geophex, Ltd. (United States)
Dean A. Keiswetter, Geophex, Ltd. (United States)
I. J. Won, Geophex, Ltd. (United States)

Published in SPIE Proceedings Vol. 3392:
Detection and Remediation Technologies for Mines and Minelike Targets III
Abinash C. Dubey; James F. Harvey; J. Thomas Broach, Editor(s)

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