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Wideband electromagnetic induction for metal-target identification: Theory, measurement, and signal processing

Publication ,  Conference
Geng, N; Garber, P; Collins, LM; Carin, L; Hansen, D; Keiswetter, DA; Won, IJ
Published in: Proceedings of SPIE - The International Society for Optical Engineering
December 1, 1998

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. ©2003 Copyright SPIE - The International Society for Optical Engineering.

Duke Scholars

Published In

Proceedings of SPIE - The International Society for Optical Engineering

DOI

ISSN

0277-786X

Publication Date

December 1, 1998

Volume

3392

Start / End Page

42 / 51

Related Subject Headings

  • 5102 Atomic, molecular and optical physics
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering
 

Citation

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Geng, N., Garber, P., Collins, L. M., Carin, L., Hansen, D., Keiswetter, D. A., & Won, I. J. (1998). Wideband electromagnetic induction for metal-target identification: Theory, measurement, and signal processing. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 3392, pp. 42–51). https://doi.org/10.1117/12.324223
Geng, N., P. Garber, L. M. Collins, L. Carin, D. Hansen, D. A. Keiswetter, and I. J. Won. “Wideband electromagnetic induction for metal-target identification: Theory, measurement, and signal processing.” In Proceedings of SPIE - The International Society for Optical Engineering, 3392:42–51, 1998. https://doi.org/10.1117/12.324223.
Geng N, Garber P, Collins LM, Carin L, Hansen D, Keiswetter DA, et al. Wideband electromagnetic induction for metal-target identification: Theory, measurement, and signal processing. In: Proceedings of SPIE - The International Society for Optical Engineering. 1998. p. 42–51.
Geng, N., et al. “Wideband electromagnetic induction for metal-target identification: Theory, measurement, and signal processing.” Proceedings of SPIE - The International Society for Optical Engineering, vol. 3392, 1998, pp. 42–51. Scopus, doi:10.1117/12.324223.
Geng N, Garber P, Collins LM, Carin L, Hansen D, Keiswetter DA, Won IJ. Wideband electromagnetic induction for metal-target identification: Theory, measurement, and signal processing. Proceedings of SPIE - The International Society for Optical Engineering. 1998. p. 42–51.

Published In

Proceedings of SPIE - The International Society for Optical Engineering

DOI

ISSN

0277-786X

Publication Date

December 1, 1998

Volume

3392

Start / End Page

42 / 51

Related Subject Headings

  • 5102 Atomic, molecular and optical physics
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering