Magnetic Anomaly Detection Using a Three-Axis Magnetometer

Sheinker, Arie; Frumkis, Lev; Ginzburg, Boris; Salomonski, Nizan; Kaplan, B.Z.

doi:10.1109/tmag.2008.2006635

Cited by 112 publications

(47 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Modern state-of-the-art magnetometers allow to achieve remarkable sensitivity [12], and are mostly focused on the measurement of extremely low fields in shielded environment. They are successively used for measurements of biomagnetic fields [13,14], revealing hidden ferromagnetic objects [15], etc. But besides, there are many other applications such as measurement and mapping of high gradient magnetic field in nuclear magnetic tomography, remote monitoring of nuclear reactors, alignment of particle accelerators, etc., where high spatial resolution, immunity against external perturbations, large dynamic range of measurement, and robust, autonomous, unshielded operation are of key priority, rather than unprecedented sensitivity attained by implementing sophisticated and expensive measurement schemes.…”

Section: Introductionmentioning

confidence: 99%

Proof of the feasibility of a nanocell-based wide-range optical magnetometer

et al. 2020

View full text Add to dashboard Cite

We present an experimental scheme performing scalar magnetometry based on the fitting of Rb D 2 line spectra recorded by derivative selective reflection spectroscopy from an optical nanometric-thick cell. To demonstrate its efficiency, the magnetometer is used to measure the inhomogeneous magnetic field produced by a permanent neodimuim-iron-boron alloy ring magnet at different distances. The computational tasks are realized by relatively cheap electronic components: an Arduino Due board for the external control of the laser and acquisition of spectra, and a Raspberry Pi computer for the fitting. The coefficient of variation of the measurements remains under 5% in the magnetic field range of 40 -200 mT, limited only by the size of the oven and translation stage used in our experiment. The proposed scheme is expected to operate with a high measurement precision also for stronger magnetic fields (> 500 mT), in the hyperfine Paschen-Back regime, where the evolution of the atomic transitions can be calculated with a high accuracy.

show abstract

Section: Introductionmentioning

confidence: 99%

Proof of the feasibility of a nanocell-based wide-range optical magnetometer

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Though before the technology is widely used in many cases, the range of detection is limited because of magnetic noise. In the past few years, there have been some noise reduction methods such as entropy filter [1], referenced magnetometer [2], high-order crossing method [3], orthonormal basis functions (OBF) matched filtering method [4,5], and wavelet transform method [6][7][8]. In most research environments, it is assumed that the target moves along a straight line relatively to the magnetometer.…”

Section: Introductionmentioning

confidence: 99%

“…Based on a parabolic target track dealt with in [2], here, we propose an analytic approach which enables to further investigate the influence of the curvature on the basis functions and on the detection performance. Anomalies will be revealed by a wave form or threshold.…”

Section: Introductionmentioning

confidence: 99%

Parabolic Trail Obf in Magnetic Anomaly Detection

Yang¹,

Liu²,

Fang³

2017

PIER B

View full text Add to dashboard Cite

Abstract-Magnetic anomaly detection (MAD) is to find hidden ferromagnetic objects, and a hidden object is often described as a magnetostatic dipole. Many detection methods are based on the orthonormal basis functions when the target moves along a straight line relatively to the magnetometer. A new kind of parabolic trail orthonormal basis functions (PTOBF) method is proposed to detect the magnetic target when the trajectory of the target is parabola. The simulation experiment confirms that the proposed method can detect the magnetic anomaly signals in white Gaussian noise when SNR is −15.56 dB. The proposed method is sensitive to the characteristic time and curvature. High detection probability and simple implementation of proposed method make it attractive for the real-time applications.

show abstract

“…MAD sensors often have a low signal-to-noise ratio, making target detection difficult [3]. One of the most common methods for MAD is based on orthogonal basis functions [4]. Instead, we utilize an estimation algorithm that explicitly models the possibility of false negative and false positive detections.…”

Section: Introductionmentioning

confidence: 99%

Active Magnetic Anomaly Detection Using Multiple Micro Aerial Vehicles

Dames

Schwager

Rus

et al. 2016

IEEE Robot. Autom. Lett.

View full text Add to dashboard Cite

Abstract-Magnetic Anomaly Detection (MAD) is an important problem in applications ranging from geological surveillance to military reconnaissance. MAD sensors detect local disturbances in the magnetic field, which can be used to detect the existence of and to estimate the position of buried, hidden, or submerged objects, such as ore deposits or mines. These sensors may experience false positive and false negative detections and, without prior knowledge of the targets, can only determine proximity to a target. The uncertainty in the sensors, coupled with a lack of knowledge of even the existence of targets, makes the estimation and control problems challenging. We utilize a hierarchical decomposition of the environment, coupled with an estimation algorithm based on random finite sets, to determine the number of and the locations of targets in the environment. The small team of robots follow the gradient of mutual information between the estimated set of targets and the future measurements, locally maximizing the rate of information gain. We present experimental results of a team of quadrotor micro aerial vehicles discovering and localizing an unknown number of permanent magnets.

show abstract

Magnetic Anomaly Detection Using a Three-Axis Magnetometer

Cited by 112 publications

References 9 publications

Proof of the feasibility of a nanocell-based wide-range optical magnetometer

Proof of the feasibility of a nanocell-based wide-range optical magnetometer

Parabolic Trail Obf in Magnetic Anomaly Detection

Active Magnetic Anomaly Detection Using Multiple Micro Aerial Vehicles

Contact Info

Product

Resources

About