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首页> 外文期刊>Applied Computational Electromagnetics Society journal >Application of the Normalized Surface Magnetic Source Model to a Blind Unexploded Ordnance Discrimination Test
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Application of the Normalized Surface Magnetic Source Model to a Blind Unexploded Ordnance Discrimination Test

机译：归一化表面磁源模型在未爆炸弹药鉴别试验中的应用

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The Normalized Surface Magnetic Source (NSMS) model is applied to unexploded ordnance (UXO) discrimination data collected at Camp Sibert, AL, with the EM63 electromagnetic induction sensor. The NSMS is a fast and accurate numerical forward model mat represents an object's response using a set of equivalent magnetic dipoles distributed on a surrounding closed surface. As part of the discrimination process one must also determine the location and orientation of each buried target. This is achieved using a physics-based technique that assumes a target to be a dipole and extracts the location from the measured magnetic field vector and the scalar magnetic potential; the latter is reconstructed from field measurements by means of an auxiliary layer of magnetic charges. Once the object's location is estimated, the measured magnetic field is matched to NSMS predictions to determine the time-dependent amplitudes of the surface magnetic sources, which in turn can be used to generate classifying features. This paper shows the superior discrimination performance of the NSMS model.
机译：使用EM63电磁感应传感器将归一化表面磁源（NSMS）模型应用于在阿拉巴马州坎普伯特（Camp Sibert）收集的未爆炸弹药（UXO）鉴别数据。 NSMS是一种快速，准确的数值正向模型垫，它使用分布在周围封闭表面上的一组等效磁偶极子来表示对象的响应。作为鉴别过程的一部分，还必须确定每个掩埋目标的位置和方向。这是使用基于物理学的技术实现的，该技术假定目标为偶极子，并从测量的磁场矢量和标量磁势中提取位置。后者是通过磁场辅助层从现场测量中重建的。一旦估计出物体的位置，就将测得的磁场与NSMS预测相匹配，以确定随时间变化的表面磁源振幅，进而可以用来生成分类特征。本文展示了NSMS模型的出色判别性能。

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