Advanced EMI Modeling and Processing Approaches for UXO Discrimination

F. Shubitidze, B. Barrowes, K. O'Neill, I. Shamatava
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引用次数: 6

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
用于未爆弹药识别的先进电磁干扰建模与处理方法
本文提出了一种新的、先进的基于非传统物理的反散射方法来确定埋藏物体的位置和方向。该方法将一种称为归一化表面磁荷模型(NSMC)的先进电磁感应(EMI)正演模型与极级数展开技术相结合。首先,利用NSMC从实际测量的单静态数据生成双静态电磁干扰数据,然后利用极点级数展开方法定位散射场奇异点,即寻找目标的位置和方向。一旦确定了目标的位置和方向,就可以计算目标的总NSMC,并将其作为判别方法。该算法针对在ERDC试验台收集的实际未爆弹药的EM-63时域电磁干扰数据进行了测试。数值结果验证了该方法对未爆弹药识别的适用性
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