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Proceedings Paper

Object-based localization of buried objects using high-resolution array processing techniques
Author(s): Adnan Sahin; Eric L. Miller
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Paper Abstract

In this paper we explore the use of high-resolution array processing techniques for the detection and localization of buried objects with known shapes. A ground penetrating radar measurement geometry is considered where the scattered electric field due to an incident plane wave is observed over a linear receiver array positioned above the targets. We have modified the high-resolution algorithm MUSIC to explicitly account for the near-field physics and solved the target localization problem in two ways. The first method uses the MUSIC algorithm in a matched field processing scheme and determines both the bearing and the range of the targets. Under the second approach, the sensor array is divided into non-overlapping subarrays. The targets are assumed to lie in the far-field of each subarray ensuring a plane wave incidence over each partition. The DOAs are then found with the conventional plane wave MUSIC and the locations of the targets are determined by triangulation of the DOAs. Using simulated data we demonstrate that these techniques are quite useful for the detection and localization of metallic and dielectric mines as well as buried metallic drums. The favorable detection results are shown to hold over a wide range of soil conditions and signal to noise ratios.

Paper Details

Date Published: 31 May 1996
PDF: 11 pages
Proc. SPIE 2765, Detection and Remediation Technologies for Mines and Minelike Targets, (31 May 1996); doi: 10.1117/12.241244
Show Author Affiliations
Adnan Sahin, Northeastern Univ. (United States)
Eric L. Miller, Northeastern Univ. (United States)

Published in SPIE Proceedings Vol. 2765:
Detection and Remediation Technologies for Mines and Minelike Targets
Abinash C. Dubey; Robert L. Barnard; Colin J. Lowe; John E. McFee, Editor(s)

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