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Use of a sub‐array statistical approach for the detection of a buried object
- Source: Near Surface Geophysics, Volume 8, Issue 5, Feb 2010, p. 365 - 376
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- 01 Oct 2009
- 01 Jul 2010
- 01 Jul 2010
Abstract
A hybrid electromagnetic‐statistic approach for the detection and localization of a perfectly‐conducting circular cylinder, buried in a lossless half‐space, is presented. We use the results of a cylindrical wave approach forward solver as input data for our detection procedure. We use a sub‐array processing structure and apply several algorithms for the direction of arrival estimation. By triangulating the found directions of arrival, a set of crossings, condensed around the object locations, is obtained. To process the crossing pattern, we developed a statistical model for the crossings distribution and employed hypothesis testing procedures to identify a collection of small windows containing the target. By defining a suitable threshold from a desired false alarm rate and dividing the region in small windows it is possible to ascribe each window to the ground or to the object. Numerical results are presented for a cylinder in a vacuum and in a dielectric half‐space, both in a central and in a peripheral position with respect to the array centre. Different values of the cylinder radius and of the distance from the array are considered.