Quantitative Analysis of the Measurable Areas of Differential Magnetic Gradient Tensor Systems for Unexploded Ordnance Detection

Achieving effective detection of unexploded ordnance (UXO) is of great significance for ensuring the safety of human lives and regional economic development. Differential magnetic tensor gradient systems have strong application prospects for UXO detection because of their low orientation requirements and exceptional sensitivity to weak magnetic fields. These systems usually have a hollow ring-shaped measurable range, referred to as the “measurable area”. With the rapid advancement of the tensor measurement system, it is necessary to further analyse the measurable area performance. In this paper, a simulation method based on a target magnetic dipole revolving around such a measurement system is designed for evaluating the measurable area. An improved Frobenius norm is adopted to compare the measured tensor data, and the centre distance is used instead of the baseline distance to better describe the scale of the measurement system. The measurable areas of planar cross-shaped, square, and triangular structures are studied, as well as the corresponding influencing factors. Finally, the quantitative relationships between the measurable area performance of the three structures and the magnetic dipole moment direction, the sensor accuracy, and the centre distance of the measurement system are obtained.

[1]  Huan Liu,et al.  Magneto-Inductive Magnetic Gradient Tensor System for Detection of Ferromagnetic Objects , 2020, IEEE Magnetics Letters.

[2]  Xiaobin Wang,et al.  Magnetic gradient full-tensor fingerprints for metallic objects detection of a security system based on anisotropic magnetoresistance sensor arrays , 2020 .

[3]  Huan Liu,et al.  Design and Implementation of a Tuning-Matching Framework for a High-Sensitivity Broad Band Proton Precession Magnetometer Sensing Coil , 2020, IEEE Sensors Journal.

[4]  Qing Zhang,et al.  Design and optimization of sensor array for magnetic gradient tensor system , 2019 .

[5]  Huan Liu,et al.  High-Precision Sensor Tuning of Proton Precession Magnetometer by Combining Principal Component Analysis and Singular Value Decomposition , 2019, IEEE Sensors Journal.

[6]  H. Zhang,et al.  Efficient Performance Optimization for the Magnetic Data Readout From a Proton Precession Magnetometer With Low-Rank Constraint , 2019, IEEE Transactions on Magnetics.

[7]  Huan Liu,et al.  An Automatic Wideband 90° Phase Shifter for Optically Pumped Cesium Magnetometers , 2017, IEEE Sensors Journal.

[8]  Song Chen,et al.  Efficient parallel reconstruction for high resolution multishot spiral diffusion data with low rank constraint , 2017, Magnetic resonance in medicine.

[9]  Yanzhang Wang,et al.  Correction of a Towed Airborne Fluxgate Magnetic Tensor Gradiometer , 2016, IEEE Geoscience and Remote Sensing Letters.

[10]  J. Zhao,et al.  Geometry Structure Optimization of Hexagonal Pyramidal Full Tensor Magnetic Gradient Probe , 2016, IEEE Transactions on Magnetics.

[11]  Zhang Yingtang,et al.  Integrated calibration of magnetic gradient tensor system , 2015 .

[12]  Zhang Yingtang,et al.  Linear calibration method of magnetic gradient tensor system , 2014 .

[13]  Feilu Luo,et al.  Integrated Compensation of Magnetometer Array Magnetic Distortion Field and Improvement of Magnetic Object Localization , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[14]  Gui Yun Tian,et al.  Design of an electromagnetic imaging system for weapon detection based on GMR sensor arrays , 2012 .

[15]  D. L. Tilbrook,et al.  Rotating magnetic tensor gradiometry and a superconducting implementation , 2009 .

[16]  R. F. Wiegert,et al.  Magnetic STAR technology for real-time localization and classification of unexploded ordnance and buried mines , 2009, Defense + Commercial Sensing.

[17]  R. Wiegert,et al.  Improved magnetic STAR methods for real-time, point-by-point localization of unexploded ordnance and buried mines , 2008, OCEANS 2008.

[18]  A. Chwala,et al.  Magnetic full-tensor SQUID gradiometer system for geophysical applications , 2006 .

[19]  A. Chwala,et al.  SQUID technology for geophysical exploration , 2005 .

[20]  Cathy P. Foley,et al.  GETMAG – a SQUID Magnetic Tensor Gradiometer for Mineral and Oil Exploration , 2004 .

[21]  Graham Heinson,et al.  Some comments on potential field tensor data , 2003 .

[22]  Yu Zhenta A real-time localization method of a magnetic target based on moving flat , 2015 .

[23]  Rasaq Bello,et al.  Literature Review on Landmines and Detection Methods , 2013 .

[24]  David A. Clark,et al.  The magnetic gradient tensor: Its properties and uses in source characterization , 2006 .