Comparative Study of Planar Coil EMI Sensors for Inversion-Based Detection of Buried Objects
Comparative Study of Planar Coil EMI Sensors for Inversion-Based Detection of Buried Objects
复制标题
用于基于反转检测埋藏物体的平面线圈 EMI 传感器的比较研究
DOI：
10.1109/jsen.2019.2944752
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发表时间：
2020
影响因子：
4.3
通讯作者：
V. Bilas
中科院分区：
文献类型：
--
作者：
D. Ambruš;D. Vasić;V. Bilas
在使用电磁感应 (EMI) 进行埋地物体检测的背景下，偶极子反演是指根据 EMI 和传感器的位置数据估计物体的位置和磁极化率张量。对于平面线圈传感器，由于方向灵敏度的不均匀分布、目标定位的非线性性质以及张量元素和目标深度之间的强相关性，偶极子反演可能会成为一个非常困难且潜在的不适定问题。在本文中，我们评估了两类平面线圈传感器的反演性能；用于传统金属检测（MD）的单接收器传感器和针对金属表征（MC）的多接收器传感器。我们使用三种不同的反演方法；非线性最小二乘 (NLS)、HAP 方法（具有用于改进对象定位的新型辅助源模型）和差分进化 (DE)。使用合成 EMI 和传感器位置数据在涉及不同目标、深度和信噪比 (SNR) 的现实场景下进行比较研究。我们的结果表明，相对简单的平面 MC 传感器明显优于传统的 MD 传感器，尤其是在更深的深度。平均而言，DE 方法显着提高了 MD 传感器的可逆性，而更密集的扫描模式可能有助于解决更大深度处的较低 SNR 问题。
In a context of buried objects detection using electromagnetic induction (EMI), dipole inversion refers to the estimation of object’s location and magnetic polarizability tensor from EMI and sensor’s positional data. In case of planar coil sensors, dipole inversion may become a surprisingly difficult and potentially ill-posed problem due to non-uniform distribution of directional sensitivities, nonlinear nature of target localization, as well as strong correlations between tensor elements and target’s depth. In this paper, we evaluate inversion performances of two categories of planar coil sensors; single-receiver sensors used in conventional metal detection (MD), and multi-receiver sensors aimed at metal characterization (MC). We use three different inversion methods; nonlinear least squares (NLS), HAP method featuring novel auxiliary source model for improved object localization, and differential evolution (DE). Comparative study is performed using synthetic EMI and sensor’s positional data under realistic scenarios involving different targets, depths and signal-to-noise ratios (SNRs). Our results suggest that relatively simple planar MC sensors clearly outperform conventional MD sensors, especially at greater depths. On average, DE method notably improves the invertibility of MD sensors, while a denser scan pattern may help to tackle lower SNR at greater depths.
DOI：
10.1109/tim.2014.2324791
发表时间：
2014-06
影响因子：
5.6
作者：
Yifei Zhao;W. Yin;C. Ktistis;D. Butterworth;A. Peyton
通讯作者：
Yifei Zhao;W. Yin;C. Ktistis;D. Butterworth;A. Peyton
影响因子：
4.3
作者：
Tao, Yang;Yin, Wuliang;Peyton, Anthony J.
通讯作者：
Peyton, Anthony J.
使用步入式金属探测器进行三维物体定位和单频率磁极化张量的反演
影响因子：
2.4
作者：
Marsh L
通讯作者：
Marsh L