DocumentCode :
2487810
Title :
Advanced EMI Modeling and Processing Approaches for UXO Discrimination
Author :
Shubitidze, F. ; Barrowes, B. ; O´Neill, K. ; Shamatava, Irma
Author_Institution :
Thayer Sch. of Eng., Dartmouth Coll., Hanover, NH
fYear :
0
fDate :
0-0 0
Firstpage :
126
Lastpage :
131
Abstract :
This paper presents a new, advanced non-traditional physics based inverse-scattering approach for determining a buried object´s location and orientation. The approach combines an advanced electromagnetic induction (EMI) forward model called the normalized surface magnetic charge model (NSMC) with the pole series expansions technique. First, the NSMC is used to generate bi-static EMI data from actual measured mono-static data, and then the pole series expansion approach is employed to localize scattered field singularities, i.e. to find object´s location and orientation. Once the object´s location and orientations are found, then the total NSMC, which is characteristic of the object, is calculated and used as a discriminant. The algorithm is tested against actual EM-63 time domain EMI data collected at the ERDC test-stand site for an actual UXO. Several numerical results are presented to demonstrate the applicability of the proposed method for UXO discrimination
Keywords :
electromagnetic fields; electromagnetic induction; electromagnetic wave scattering; inverse problems; EMI modeling; UXO discrimination; bi-static EMI data; buried object location; buried object orientation; electromagnetic induction; inverse-scattering approach; monostatic data; normalized surface magnetic charge model; pole series expansions; scattered field singularities; Buried object detection; Electromagnetic induction; Electromagnetic interference; Electromagnetic measurements; Electromagnetic modeling; Electromagnetic scattering; Induction generators; Magnetic field measurement; Physics; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mathematical Methods in Electromagnetic Theory, 2006 International Conference on
Conference_Location :
Kharkiv
Print_ISBN :
1-4244-0490-8
Type :
conf
DOI :
10.1109/MMET.2006.1689722
Filename :
1689722
Link To Document :
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