Buried Explosive Hazard Characterization Using Advanced Magnetic and Electromagnetic Induction Sensors

被引:2
|
作者
Miller, Jonathan S. [1 ]
Schultz, Gregory [1 ]
Shah, Vishal
机构
[1] White River Technol Inc, Etna, NH 03750 USA
来源
DETECTION AND SENSING OF MINES, EXPLOSIVE OBJECTS, AND OBSCURED TARGETS XVIII | 2013年 / 8709卷
关键词
electromagnetic induction; buried explosive hazard; chip-scale atomic magnetometers;
D O I
10.1117/12.2016258
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Advanced electromagnetic induction arrays that feature high sensitivity wideband magnetic field and electromagnetic induction receivers provide significant capability enhancement to landmine, unexploded ordnance, and buried explosives detection applications. Specifically, arrays that are easily and quickly configured for integration with a variety of ground vehicles and mobile platforms offer improved safety and efficiency to personnel conducting detection operations including route clearance, explosive ordnance disposal, and humanitarian demining missions. We present experimental results for explosives detection sensor concepts that incorporate both magnetic and electromagnetic modalities. Key technology components include a multi-frequency continuous wave EMI transmitter, multi-axis induction coil receivers, and a high sensitivity chip scale atomic magnetometer. The use of multi-frequency transmitters provides excitation of metal encased threats as well as low conductivity non-metallic explosive constituents. The integration of a radio frequency tunable atomic magnetometer receiver adds increased sensitivity to lower frequency components of the electromagnetic response. This added sensitivity provides greater capability for detecting deeply buried targets. We evaluate the requirements for incorporating these sensor modalities in forward mounted ground vehicle operations. Specifically, the ability to detect target features in near real-time is critical to non-overpass modes. We consider the requirements for incorporating these sensor technologies in a system that enables detection of a broad range of explosive threats that include both metallic and non-metallic components.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] Spheroidal mode approach for the characterization of metallic objects using electromagnetic induction
    Chen, Xudong
    O'Neill, Kevin
    Grzegorczyk, Tomasz M.
    Kong, Jin Au
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2007, 45 (03): : 697 - 706
  • [42] Nanoscale Characterization of Mock Explosive Materials Using Advanced Atomic Force Microscopy Methods
    Xu, Xin
    Mares, Jesus
    Groven, Lori J.
    Son, Steven F.
    Reifenberger, Ronald G.
    Raman, Arvind
    JOURNAL OF ENERGETIC MATERIALS, 2015, 33 (01) : 51 - 65
  • [43] Automatic coating-weight-measurement system using magnetic induction sensors
    Kim, J
    Kim, D
    Hong, J
    ADVANCED SENSORS FOR METALS PROCESSING, 1999, : 383 - 390
  • [44] Estimation of soil water content using electromagnetic induction sensors under different land uses
    Mensah, Clinton
    Katanda, Yeukai
    Krishnapillai, Mano
    Cheema, Mumtaz
    Galagedara, Lakshman
    ENVIRONMENTAL RESEARCH COMMUNICATIONS, 2023, 5 (08):
  • [45] ELECTROMAGNETIC INDUCTION STUDY OF THE KAPUKASING STRUCTURAL ZONE USING AN ARRAY OF MAGNETIC VARIOMETERS
    WOODS, DV
    ALLARD, M
    GEOPHYSICS, 1985, 50 (08) : 1372 - 1372
  • [46] FIELD STUDIES ON THE PREDICTION METHOD OF INDUCED AC LEVEL ON BURIED PIPELINES USING MAGNETIC FIELD SENSORS
    Hosokawa, Yuji
    Koga, Ryuji
    Ametani, Akihiro
    IPC2008: PROCEEDINGS OF THE ASME INTERNATIONAL PIPELINE CONFERENCE - 2008, VOL 2, 2009, : 233 - 240
  • [47] Measurement of Vapor Void Fraction in Binary Magnetic Fluid using Electromagnetic Induction Method
    Yamasaki, Haruhiko
    Umeda, Shinya
    Iwamoto, Yuhiro
    Yamaguchi, Hiroshi
    8TH INTERNATIONAL SYMPOSIUM ON MEASUREMENT TECHNIQUES FOR MULTIPHASE FLOWS, 2014, 1592 : 50 - 56
  • [48] Modeling and experimental investigation of magnetic anomaly detection using advanced triaxial magnetoelectric sensors
    Chen, Ziyun
    Di, Wenning
    Chen, Rui
    Deng, Tingyu
    Wang, Yuhang
    You, Haoran
    Lu, Li
    Han, Tao
    Jiao, Jie
    Luo, Haosu
    SENSORS AND ACTUATORS A-PHYSICAL, 2022, 346
  • [49] An Optimized Forward Problem Solver for the Complete Characterization of the Electromagnetic Properties of Biological Tissues in Magnetic Induction Tomography
    Caeiros, Jorge M. S.
    Martins, Raul C.
    IEEE TRANSACTIONS ON MAGNETICS, 2012, 48 (12) : 4707 - 4712
  • [50] Geometric and dielectric characterization of buried cylinders by using simple time-domain electromagnetic data and neural networks
    Bermani, E
    Caorsi, S
    Raffetto, M
    MICROWAVE AND OPTICAL TECHNOLOGY LETTERS, 2000, 24 (01) : 24 - 31