KEYWORDS: Electromagnetic coupling, Transmitters, Receivers, Signal to noise ratio, Electromagnetism, Sensors, Finite element methods, Data acquisition, Optical spheres
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.
Electromagnetic induction (EMI) sensors and magnetometers have successfully detected surface laid, buried, and visually obscured metallic objects. Potential military activities could require detection of these objects at some distance from a moving vehicle in the presence of metallic clutter. Results show that existing EMI sensors have limited range capabilities and suffer from false alarms due to clutter. This paper presents results of an investigation of an EMI sensor designed for detecting large metallic objects on a moving platform in a high clutter environment. The sensor was developed by the U.S. Army RDECOM CERDEC NVESD in conjunction with the Johns Hopkins University Applied Physics Laboratory.
Extremely low frequency measurements, below 30 Hz, of solid, thin-, and, thick-walled steel (permeable) cylinders with length-to-diameter ratios of approximately 4 are described and compared with the predicted response computed using a frequency domain finite element method (FDFEM). Measurements were made using a conventional EMI test setup consisting of a Hewlett Packard 89410 vector signal analyzer, rectangular transmitting and a figure-eight (bucked) receiving coil, along with appropriate transmitter and receiver coil amplifiers. All cylinders were measured with the predominant component of the excitatory magnetic field both aligned with and orthogonal to (two distinct measurements) the cylinder's axis. Measurements were made with and without a centered copper ring on the cylinders. The ring simulates the so-called rotating bands on actual UXO. Not surprisingly, we observed that the quadrature peak of the response shifts down in frequency much more when the axis of the ringed cylinder is aligned with the excitatory magnetic field than when perpendicular to it. Our measurements indicated that the real part of the response of the smallest cylinders measured asymptotically approaches its DC value around 1 Hz while the largest of the cylinders measured does not asymptote until well below 1 Hz. It appears that target information that may be crucial for discrimination purposes, especially for larger targets, exists at frequencies well below 30 Hz. Extremely low frequency measurements, especially with data averaging (stacking), can be a rather time consuming process, and therefore it is not likely that such measurements can be made from a moving platform. However, once an object of interest has been detected, the target can be reacquired and the measurement taken with the sensor stationary with respect to the target (sometimes referred to as a qued approach). As our measurements and simulations indicate, the qued method may be necessary if large solid UXO are to be distinguished from large thin-walled clutter objects.
This paper addresses continuous wave (CW) electromagnetic induction (EMI) measurements of wire loops (q-coils) and low metallic (LM) content landmines. Most importantly, measurement errors are addressed. A method based on the measurement of a q-coil with an analytically calculable response is used to produce an error correction function. When this function is used to correct EMI CW measurements of other objects cross over frequency errors are reduced relative to the uncorrected case on average by a factor of 2. Insights into the sources of systematic errors are provided through the analysis of a simple equivalent circuit model of the EMI measurement system.
A hand-held mine detector has two modes of operation: search and localization. In search mode, the goal is to identify areas where a buried mine might be located. Since minimizing the number of misses is a top priority, many regions identified in this mode may contain clutter. To separate the clutter from the mines, the detector can be switched into the localization mode during which a more thorough interrogation of the region is performed. Because causality is not required in localization mode, the analyzed signal is not limited to a single data point, but instead can consist of the response across an entire spatial "region". Previous work has demonstrated that so called "region processing" can potentially improve the localization performance of the detector. We have used the Minelab F1A4 metal detector, an EMI-based system, to collect regional data for a variety of objects including buried mines, metallic and non-metallic clutter, and short-circuited copper loops in free space. Several physics-based processing algorithms were developed and used to predict discrimination performance. Analysis of the loops, whose physical properties were known, indicated that discrimination between objects might be possible using a feature extracted from the detector output. Subsequently, this feature was used as the basis of an algorithm which, when used to process the mine/clutter data, significantly decreased the false alarm rate. This algorithm and its performance were further enhanced by incorporating information about the entire regional response of each object.
In this paper we discuss fundamental considerations in the design of an electromagnetic induction (EMI) sensor. Simple circuit representations of pulsed and continuous wave EMI systems are presented and the analysis of these circuits leads one to certain conclusions regarding optimal (good) sensor design. Findings reported here are gathered from experimental research conducted over the past year and directed toward the development of an EMI system that not only has reasonable sensitivity but also has the ability to capture a target's low frequency response characteristics. The later capability is important when attempting to discriminate between low metallic content landmines and metallic clutter.
This paper briefly reviews the fundamental operating characteristics of the AN/PSS-12 and describes modifications to the system aimed toward developing the capability to distinguish buried low-metal landmines from buried metallic clutter. Improvements were implemented to three key areas including the AN/PSS-12 hardware, method of data collection at Fort A.P.Hill, VA, and algorithm design. The improvements to the AN/PSS-12 hardware yield higher system bandwidths resulting in the ability to extract the fast decay rates associated with small metallic objects. The improvements in data collection involve exciting and measuring the response of a buried object along its three principle cardinal axes resulting in an increase of characteristic target information that can be used to further separate mine responses from clutter responses. The increase in characteristic target information yields five target parameters that characterize each of the eleven different mine types in the JUXOCO grid. A generalized likelihood ratio test (GLRT) is developed that incorporates the five target parameters. The algorithm, using the additional target information, results in an increase in landmine discrimination performance presented in a receiver operator characteristic (ROC) curve.
This report presents a summary of signal strength testing conducted with the metal detector (MD) subsystem of the Mine H/K (hunter/killer) vehicular mine detection system. An overview of the operational characteristics of the MD subsystem, the VMV16, is provided. Tests are described that assess the variation in sensitivity across the MD coil array. Absolute sensitivity measurements of the MD array are also presented. Results presented show that the array has sufficient sensitivity to detect low metal (LM) mines provided the mines are not located further than 3.5 inches from the plane of array. Laboratory experiments indicate that saturation and a limited temporal sampling window severely restrict any opportunity for discrimination based on eddy current decay predictions/comparisions.
An algorithm based on Bayesian probability theory is developed to discriminate buried metallic landmines from buried metallic clutter. A binary hypothesis problem is formed using the two hypotheses that the buried object is either a mine-like object or a clutter-like object. The received signal under both hypotheses is modeled as a target function, which is a delayed decaying exponential, plus Gaussian noise. The target functions contain the target's decay rate and coupling strength information. The coupling strength manifests itself as the point where the buried target's response reasons comes out of amplifier saturation. A target with a large coupling strength will fall out of saturation much later in time that a target with a low coupling strength. The decay rate for each buried object is extracted using a differential-corrections routine. The decay rate and fallout time are considered random variables with known distributions under each hypothesis. The distribution for the mine decay rates and fallout times are calculated from four separate measurements taken in a calibration area. The distribution of decay rates and fallout times for all objects in a blind grid is also estimated.
This paper describes data collection efforts carried out at Fort A.P Hill VA with the US Army's hand held metal detector (MD) the AN/PSS-12. Our efforts were directed toward establishing the receiver operating characteristics (ROC) curves for the AN/PSS-12 thereby creating an objective measure of its baseline performance capabilities. Voltage- versus-time waveforms were recorded at two different locations in the AN/PSS-12's receiver circuitry: 1) After the first stage of amplification following the receiver coil, and 2) At the output of the step-2 difference amplifier just before its voltage-to-frequency converter. The latter signal was used to determine the frequency of the detector's audio output frequency-versus-position data was used to determine the baseline ROC for the AN/PSS-12 under the binary mine-no-mine hypothesis. Under this hypothesis, the baseline ROC for the detector is shown to lie close to the change diagonal, an expected result, since the detector's audio output offers the detector operator no way to discriminate between mines and metallic clutter objects. An improved 'ad hoc' detector is presented that has the ability to distinguish between mines and clutter objects based on spatial symmetry. Our symmetry detector operates on energy-versus-position data derived from the first type of data described above. The ROC for out symmetry detector is shown to lie well above the change diagonal.
Two sets of metallic objects are created to provide a standard set of metallic test targets to facilitate an objective comparison and evaluation of metal detectors. The first set of metallic objects is chosen form combinations of small metal parts common to many low-metallic content landmines. The collections of small metal parts are chosen based on an average detection distance measured with five sensitive metal detectors. A second set of metal objects is created using short-circuited coils of wire, INSCOILS. A development of the theory describing the interactions of INSCOILS with a metal detector's transmit and receive coil shows that the coupling and response function of an INSCOIL can be independently controlled. By varying the wire gauge, wire material, and loop size, an INSCOIL can be made to approximate the response of an arbitrary metallic object. A pulse-induction measurement system is used to measure the response of different metallic objects. The pulse-induction measurement system is used to match the response of an INSCOIL to that of the collection of small metal parts. Surrogate landmines are also constructed by matching the response of a coil of wire to that of a specific landmine.
KEYWORDS: Signal to noise ratio, Magnetism, Aluminum, Data modeling, Mining, Monte Carlo methods, Detection and tracking algorithms, Sensors, Error analysis, Metals
This paper addresses the issue of identifying conduction objects based on their response to low frequency magnetic fields -- an area of research referred to by some as magnetic singularity identification (MSI). Real time identification was carried out on several simple geometries. The low frequency transfer function of these objects was measured for both cardinal and arbitrary orientations of the magnetic field with respect to the planes of symmetry of the objects (i.e., different polarizations). Distinct negative real axis poles (singularities) associated with each object form the basis for our real-time identification algorithm. Recognizing this identification problem as one of inference form incomplete information, application of Bayes theorem leads to a generalized likelihood ratio test (GLRT) as a solution to the M-ary hypothesis testing problem of interest here. Best performance, measured through Monte Carlo simulation presented in terms of percent correct identification versus signal-to- noise ratio, was obtained with a single pole per object orientation.
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