Simulants (decoys) for low-metallic-content mines: theory and experimental results

Riggs, L.S.; Lowe, Larry T.; Mooney, J.E.; Barnett, T.S.; Ess, Richard; Paca, Frank

doi:10.1117/12.357085

Cited by 9 publications

(4 citation statements)

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“…We believe these results are very good considering the very low drive current: I 0 = 75 mA. Figure 7 shows the real and imaginary parts of the response of the EMI detector for an I0 target [6] at 6 depths. Also, the response without a target is also shown.…”

Section: Experimental Results For Prototype #1mentioning

confidence: 66%

Investigation of an Electromagnetic Induction Sensor

Scott¹

2005

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Public Reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comment regarding this burden estimates or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302, and Waymond R. Scott, Jr. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES)Georgia Tech ABSTRACT (Maximum 200 words)A new technique is presented for canceling the coupling between the coils of an electromagnetic induction sensor while using simple dipole detection coils. A secondary bucking transformer is used to cancel the coupling between the coils. The technique allows for the cancellation that can be obtained using a quadrupole receive coil while maintaining the depth sensitivity and simple detection zone of a dipole coil. Simple circuit models for the sensor with some of the important parasitic effects are developed. An experimental model is developed and used to demonstrate the technique. Experimental results are presented that demonstrate the effectiveness of this technique. SUBJECT TERMS ABSTRACTA new technique is presented for canceling the coupling between the coils of an electromagnetic induction sensor while using simple dipole detection coils. A secondary bucking transformer is used to cancel the coupling between the coils. The technique allows for the cancellation that can be obtained using a quadrupole receive coil while maintaining the depth sensitivity and simple detection zone of a dipole coil. Simple circuit models for the sensor with some of the important parasitic effects are developed. An experimental model is developed and used to demonstrate the technique. Experimental results are presented that demonstrate the effectiveness of this technique.

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Section: Experimental Results For Prototype #1mentioning

confidence: 66%

Investigation of an Electromagnetic Induction Sensor

Scott¹

2005

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“…We believe these results are very good considering the very low drive current: I 0 = 75 mA. Figure 7 shows the real and imaginary parts of the response of the EMI detector for an I0 target [6] at 6 different heights above the ground. Also, the response without a target is also shown.…”

Section: Experimental Model and Resultsmentioning

confidence: 67%

New cancellation technique for electromagnetic induction sensors

Scott

Malluck

2005

SPIE Proceedings

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A new technique is presented for canceling the coupling between the coils of an electromagnetic induction sensor while using simple dipole detection coils. A secondary bucking transformer is used to cancel the coupling between the coils. The technique allows the cancellation that can be obtained using a quadrupole receive coil while maintaining the depth sensitivity and simple detection zone of a dipole coil. Simple circuit models for the sensor with some of the important parasitic effects are developed. An experimental model is developed and used to demonstrate the technique. Experimental results are presented that demonstrate more than 75 dB of cancellation up to 100 kHz and the response of the sensor to a few targets.

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“…transmitter and receiver coils. The small R o and L o loop in the equivalent circuit is the model of the mine or mine simulant [12]. The source voltage, V s , is broad band with an equivalent pulse width of 1 µs.…”

Section: Electrical Equivalent Circuitmentioning

confidence: 99%

Electromagnetic Induction Landmine Detection Using Bayesian Model Comparison

Goggans¹,

Chi²

2006

AIP Conference Proceedings

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Electromagnetic induction (EMI) landmine detection can be cast as a Bayesian model comparison problem. The models used for low metallic-content mine detection are based on the equivalent electrical circuit representation of the EMI detection system. The EMI detection system is characterized and modeled by the pulse response of its equivalent circuit. The analytically derived transfer function between the transmitter coil and receiver coil demonstrates that the EMI detection system is a third order system in the absence of a mine and that the presence of a mine adds an additional pole that makes the detection system fourth order. The value of the additional pole is determined by the equivalent inductance and resistance of the mine and is unique for each mine type. This change in system order suggests that measured system pulse responses can be used in conjunction with pulse response models to infer the presence or absence of a landmine. The difficulty of this technique is that the amplitude of the term added to the the system pulse response by the landmine is small compared to the pulse response of the system alone. To test the feasibility of Bayesian inference based EMI landmine detection, an EMI detection system experiment was designed and built. In the experiment the EMI detection system was driven by a broadband maximal-length sequence (MLS) in order to obtain sufficient dynamic range in the measured pulse responses. This paper presents the parameterized pulse response models for the detection system with and without a landmine present and gives appropriate priors for the parameters of these models. This paper also presents the ratios of computed posterior probabilities for the mine and no mine models based on data obtained from the experimental EMI landmine detection system. These odds demonstrate the potential for Bayesian EMI landmine detection.

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Simulants (decoys) for low-metallic-content mines: theory and experimental results

Cited by 9 publications

References 0 publications

Investigation of an Electromagnetic Induction Sensor

Investigation of an Electromagnetic Induction Sensor

New cancellation technique for electromagnetic induction sensors

Electromagnetic Induction Landmine Detection Using Bayesian Model Comparison

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