Detection and localization of improvised explosive devices based on 3-axis magnetic sensor array system
The detection and localization of improvised explosive devices(IEDs) on the roadside is a new subject encountered in the struggle against terrorism. A novel detection and localization method was proposed for IEDs based on magnetic signals. Since most of the IEDs have the ferromagnetic properties, th...
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| Published in: | Procedia engineering Vol. 7; pp. 1 - 9 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
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Elsevier Ltd
2010
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| ISSN: | 1877-7058, 1877-7058 |
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| Abstract | The detection and localization of improvised explosive devices(IEDs) on the roadside is a new subject encountered in the struggle against terrorism. A novel detection and localization method was proposed for IEDs based on magnetic signals. Since most of the IEDs have the ferromagnetic properties, the magnetic field produced around the body by the IED can be detected by 3-axis fluxgate sensor array system. With these detected sensor data, the detection and localization of the IED can be computed by an appropriate method based on magnetic dipole model and nonlinear optimization algorithm. This paper studied respectively the properties of explosives and roads as target and environment to be detected. First, the gradient of total magnetic field was directly reconstructed from the magnetic field and the data of sensor array. In order to reduce the effects of the Earth’s magnetic field, the total gradient contraction was used to detect the IEDs. Second, the localization and magnetic moment parameters were searched in the rough by adopting the particle swarm optimization (PSO) algorithm and the precision ones were found by using steepest descent method. Simulation results show that the method mentioned achieves good effects, the maximum detection range of the sensor array can reach to 12 m for a 15 Am2 target and the mean errors of localization and magnetic moment estimation are less than 0.16 m and 1 Am2 respectively. Since the method need not know the IED’s magnetic moment in advance, it is adapt to battlefield environment. In addition, this detection method can be directly applied to solve the problem of detecting and localizing underwater IEDs. |
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| AbstractList | The detection and localization of improvised explosive devices(IEDs) on the roadside is a new subject encountered in the struggle against terrorism. A novel detection and localization method was proposed for IEDs based on magnetic signals. Since most of the IEDs have the ferromagnetic properties, the magnetic field produced around the body by the IED can be detected by 3-axis fluxgate sensor array system. With these detected sensor data, the detection and localization of the IED can be computed by an appropriate method based on magnetic dipole model and nonlinear optimization algorithm. This paper studied respectively the properties of explosives and roads as target and environment to be detected. First, the gradient of total magnetic field was directly reconstructed from the magnetic field and the data of sensor array. In order to reduce the effects of the Earth’s magnetic field, the total gradient contraction was used to detect the IEDs. Second, the localization and magnetic moment parameters were searched in the rough by adopting the particle swarm optimization (PSO) algorithm and the precision ones were found by using steepest descent method. Simulation results show that the method mentioned achieves good effects, the maximum detection range of the sensor array can reach to 12 m for a 15 Am2 target and the mean errors of localization and magnetic moment estimation are less than 0.16 m and 1 Am2 respectively. Since the method need not know the IED’s magnetic moment in advance, it is adapt to battlefield environment. In addition, this detection method can be directly applied to solve the problem of detecting and localizing underwater IEDs. |
| Author | Liu, Renhao Wang, Hua |
| Author_xml | – sequence: 1 givenname: Renhao surname: Liu fullname: Liu, Renhao email: liurenhao2004@163.com – sequence: 2 givenname: Hua surname: Wang fullname: Wang, Hua |
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| CitedBy_id | crossref_primary_10_1088_1742_6596_1750_1_012041 crossref_primary_10_1007_s00024_016_1247_6 crossref_primary_10_1155_2017_6510980 crossref_primary_10_1109_JSEN_2024_3518563 crossref_primary_10_1155_2017_7948930 crossref_primary_10_1109_TGRS_2023_3257411 crossref_primary_10_1016_j_measurement_2020_107994 crossref_primary_10_1109_TGRS_2020_2973322 crossref_primary_10_1186_s40064_016_2170_0 crossref_primary_10_1088_1757_899X_1012_1_012026 crossref_primary_10_1109_JSEN_2020_2996575 crossref_primary_10_3390_s16122168 crossref_primary_10_1088_1674_1056_27_6_060703 |
| Cites_doi | 10.1109/APS.2009.5172109 10.1088/0957-0233/18/11/027 10.1109/OCEANS.2006.306805 10.1109/CIRA.2009.5423162 10.1109/ICMTMA.2009.620 |
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| Keywords | Magnetic detection Nonlinear optimization algorithm Explosive device detection Magnetic dipole model Magnetic localization |
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| References_xml | – reference: Li Ning, Analysis and Application of Particle Swarm Op-timization. Ph.D. dissertation, Dept. Control Theory and Control. Eng 2006. hust. Univ., Wuhan, China. – reference: Roy Wiegert, John Oeschger, Portable Magnetic Gradiometer for Real-Time Localization and Classification of Unexploded Ordnance. OCEANS 2006, Boston, USA, pp. 1–6. – reference: Liu Bo, Pan Hongxia, A Hybrid PSO-DV Based Intelligent Method for Fault Diagnosis of Gear-box. 2009 IEEE International Symposium on Computational Inelliqence in Robotics and Automation (CIRA) 2009. Daejeon, Korea, pp. 451–456. – reference: Changhan Xiao, Shengdao Liu, Guohua Zhou, Real-time Localization of a Magnetic Object with Total Field Data. Proceedings of the 2008 World Automation Congress2008, Hawaii, USA, pp. 1–4. – reference: V. Schlageter, P.A. Besse, R.S. Popovic, P. Kucera, Tracking system with five degrees of freedom using 2D-array of Hall sensors and a permanent magnet 2001; 92:37–42. – volume: 31 start-page: 154 year: 2010 end-page: 160 ident: br000045 article-title: Numerical simulation of resistance-capacitance decoupling soft-sensing with multifrequency AC square excitation publication-title: Chinese Journal of Scientific Instrument – volume: 18 start-page: 3451 year: 2007 end-page: 3457 ident: br000035 article-title: Localization and magnetic moment estimation of a ferromagnetic target by simulated annealing publication-title: Measurement Science and Technology – year: 1995 ident: br000050 article-title: Technology of fluxgate sensor – reference: Qiang Zhao, Yongheng Yue, Qiang Guan, A PSO-based Ball-plate Calibration for Laser Scanner. International Conference on Measuring Technology and Mechatronics Automation 2009, Zhangjiajie, China, pp. 479–481. – reference: Christopher E. Bassey, Evaluation of Microwave Sensor For Landmine Detection. Symposium of the Antennas and Propagation Society International Symposium 2009, Charleston, USA, pp. 1–4. – ident: 10.1016/j.proeng.2010.11.001_br000005 doi: 10.1109/APS.2009.5172109 – volume: 31 start-page: 154 issue: 1 year: 2010 ident: 10.1016/j.proeng.2010.11.001_br000045 article-title: Numerical simulation of resistance-capacitance decoupling soft-sensing with multifrequency AC square excitation publication-title: Chinese Journal of Scientific Instrument – volume: 18 start-page: 3451 issue: 11 year: 2007 ident: 10.1016/j.proeng.2010.11.001_br000035 article-title: Localization and magnetic moment estimation of a ferromagnetic target by simulated annealing publication-title: Measurement Science and Technology doi: 10.1088/0957-0233/18/11/027 – ident: 10.1016/j.proeng.2010.11.001_br000015 doi: 10.1109/OCEANS.2006.306805 – ident: 10.1016/j.proeng.2010.11.001_br000010 – ident: 10.1016/j.proeng.2010.11.001_br000025 doi: 10.1109/CIRA.2009.5423162 – ident: 10.1016/j.proeng.2010.11.001_br000030 doi: 10.1109/ICMTMA.2009.620 – ident: 10.1016/j.proeng.2010.11.001_br000020 – year: 1995 ident: 10.1016/j.proeng.2010.11.001_br000050 – ident: 10.1016/j.proeng.2010.11.001_br000040 |
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| SubjectTerms | Explosive device detection Magnetic detection Magnetic dipole model Magnetic localization Nonlinear optimization algorithm |
| Title | Detection and localization of improvised explosive devices based on 3-axis magnetic sensor array system |
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