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Use of a sub‐array statistical approach for the detection of a buried object
Author(s) -
Meschino Simone,
Pajewski Lara,
Schettini Giuseppe
Publication year - 2010
Publication title -
near surface geophysics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.639
H-Index - 39
eISSN - 1873-0604
pISSN - 1569-4445
DOI - 10.3997/1873-0604.2010031
Subject(s) - position (finance) , lossless compression , algorithm , constant false alarm rate , radius , acoustics , cylinder , computer science , geology , geometry , physics , mathematics , data compression , computer security , finance , economics
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.