A comparison of discrimination capabilities of time- and frequency-domain electromagnetic induction systems

被引:0
|
作者
Chilaka, SV [1 ]
Faircloth, DL [1 ]
Riggs, LS [1 ]
Baginski, ME [1 ]
机构
[1] Auburn Univ, Dept Elect & Comp Engn, Auburn, AL 36849 USA
来源
DETECTION AND REMEDIATION TECHNOLOGIES FOR MINES AND MINELIKE TARGETS X, PTS 1 AND 2 | 2005年 / 5794卷
关键词
Electromagnetic Induction (EMI); Unexploded Ordnance (UXO); pulsed; time domain; frequency domain; continuous wave; discrimination; detection; target identification;
D O I
10.1117/12.603729
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper discusses the ability of time and frequency domain electromagnetic induction systems to discriminate unexploded ordnance from clutter. Toward this end, time and frequency domain electromagnetic induction systems were built and the responses of a wide variety of targets including loops, spheres, cylinders and inert UXOs were measured. Also, time and frequency responses of test targets are numerically modeled using finite element methods to validate the experimental work. Target information is more distinct in the frequency domain than time domain. Moreover, discrimination performance of the frequency domain electromagnetic induction system was enhanced by almost a factor of two when the usual the low frequency spectrum (30 Hz to 24 kHz) was extended down to extremely low frequencies (1 Hz to 30 Hz). However, data acquisition at extremely low frequencies is a time consuming process especially if data averaging is required to achieve acceptable SNR. Therefore, in practice, it would be better to have two operating modes when using a frequency domain electromagnetic induction system; one with very few operating frequencies and the other operating in the entire band (1 Hz to 24 kHz). Once a target location is marked using the first mode, the system can be used as a "cued" sensor in the second mode, thus improving the discrimination.
引用
收藏
页码:242 / 253
页数:12
相关论文
共 50 条
  • [31] Frequency-Domain Adaptive Filtering in Hypercomplex Systems
    Ortolani, Francesca
    Comminiello, Danilo
    Scarpiniti, Michele
    Uncini, Aurelio
    ADVANCES IN NEURAL NETWORKS: COMPUTATIONAL INTELLIGENCE FOR ICT, 2016, 54 : 47 - 56
  • [32] Comparison of time-domain and frequency-domain models for vibration prediction of a rail transit viaduct paved with floating slab track
    Song, Qingyuan
    Li, Qi
    Thompson, David J.
    ENGINEERING STRUCTURES, 2024, 310
  • [33] A Fast Algorithm for Frequency-Domain Solutions of Electromagnetic Field Computation of Electric Devices Using Time-Domain Finite-Element Method
    Fu, W. N.
    Zhang, Xiu
    Ho, S. L.
    IEEE TRANSACTIONS ON MAGNETICS, 2013, 49 (01) : 530 - 535
  • [34] The frequency-domain airborne electromagnetic method with a grounded electrical source
    Lin, Jun
    Kang, Lili
    Liu, Changsheng
    Ren, Tongyang
    Zhou, Haigen
    Yao, Yao
    Yu, Shengbao
    Liu, Teng
    Liu, Peng
    Zhang, Ming
    GEOPHYSICS, 2019, 84 (04) : E269 - E280
  • [35] A Fast Frequency-Domain Parameter Extraction Method Using Time-Domain FEM
    Fu, W. N.
    Zhang, Xiu
    Ho, S. L.
    IEEE TRANSACTIONS ON MAGNETICS, 2014, 50 (02) : 433 - 436
  • [36] Frequency-domain and time-domain solvers of parabolic equation for rotationally symmetric geometries
    He, Zi
    Chen, Ru-Shan
    COMPUTER PHYSICS COMMUNICATIONS, 2017, 220 : 181 - 187
  • [37] A General Time-Domain Finite-Element Method for Frequency-Domain Solutions
    Fu, W. N.
    Zhang, Xiu
    Ho, S. L.
    IEEE TRANSACTIONS ON MAGNETICS, 2013, 49 (04) : 1284 - 1289
  • [38] Time-domain versus frequency-domain approach for an accurate simulation of phased Arrays
    Han Cui
    Min Zhang
    2008 INTERNATIONAL CONFERENCE ON MICROWAVE AND MILLIMETER WAVE TECHNOLOGY PROCEEDINGS, VOLS 1-4, 2008, : 454 - +
  • [39] Study of conditional ML estimators in time and frequency-domain system identification
    Schoukens, J
    Pintelon, R
    Rolain, Y
    AUTOMATICA, 1999, 35 (01) : 91 - 100
  • [40] Comparison of Frequency-Domain and Time-Domain Baseline Correction Approaches for Infrared Absorption Spectroscopy of Mixtures Containing Up to 464 Components
    Okada, Haruna
    Sanders, Scott T.
    APPLIED SPECTROSCOPY, 2024, 78 (04) : 376 - 386