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Proceedings Paper

Influence of soil properties on time-frequency signatures of conducting and dielectric targets buried underground
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Paper Abstract

The capability of ultra-wideband (UWB) radar systems for extracting and displaying signature information useful for target recognition purposes has been already demonstrated. The frequency content of the projected signals is designed to match the size and kind of prospective targets and environments. Low frequencies are required for deep penetration into the ground, and high frequencies for detailed target information. Such conflicting requirements cannot always be satisfied. The complex permittivity of a soil varies substantially with its moisture content. Dry soils have a relative permittivity close to that of most dielectric mines, with low contrast and detection difficulties as consequences. Moist soils have high complex-valued dielectric constant, which may prevent sufficient penetration of the high frequencies. Moisture content of the soil and target burial depth will alter the returned echo. Moreover, moisture content of the soil and target burial depth will distort the returned echo and hence also the target signature. In the present work we investigate the backscattered radar echoes of a metal target and a dielectric target under illumination by the waveform from an aboveground radar when they are buried at a few representative depths in Yuma soil of a few different moisture contents. These echoes are simulated by the Method- of-Moments (MoM) and then used to determine the targets' signatures as generated by a signal-adaptive time-frequency distribution. These time-frequency distributions can then be used as templates for actual target classification purposes using measured data.

Paper Details

Date Published: 25 July 2002
PDF: 11 pages
Proc. SPIE 4726, Automatic Target Recognition XII, (25 July 2002); doi: 10.1117/12.477020
Show Author Affiliations
Hans C. Strifors, Swedish Defence Research Agency (Sweden)
Guillermo C. Gaunaurd, Army Research Lab. (United States)
Anders J. Sullivan, Army Research Lab. (United States)

Published in SPIE Proceedings Vol. 4726:
Automatic Target Recognition XII
Firooz A. Sadjadi, Editor(s)

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