Processing of a scalar magnetometer signal contaminated by 1/fα noise

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

doi:10.1016/j.sna.2007.04.018

Cited by 76 publications

(51 citation statements)

References 4 publications

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“…Traditionally, magnetic targets are localized by looking at the maxima of the magnitude of the gradient [10]. This is achieved by producing a map of this quantity.…”

Section: The Inversion Methodsmentioning

confidence: 99%

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The Special Case of Sea Mines

Tellez¹,

Borghgraef²,

Mersch³

2017

Mine Action - The Research Experience of the Royal Military Academy of Belgium

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In this chapter, work carried out at the Royal Military Academy regarding sea mines and mine countermeasures is summarized. Three sensors used for the detection and identification of sea mines are studied here: sonar, gradiometer and infrared camera. These sensors can be applied to detect different types of sea mines. Some signal and image processing techniques developed to extract relevant information for the detection of underwater objects are presented in this chapter. These techniques are validated using data collected in the frame of different European and NATO projects.

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“…Traditionally, magnetic targets are localized by looking at the maxima of the magnitude of the gradient [10]. This is achieved by producing a map of this quantity.…”

Section: The Inversion Methodsmentioning

confidence: 99%

“…Several kinds of magnetic detectors can be used to detect sea mines. Total field magnetometers measure the magnetic field magnitude; they can be used to detect dipole targets [10]. Three axis magnetometers measure the three magnetic field vector components and can be applied to mine hunting [11].…”

Section: Magnetic Gradiometry Applied To Mine Huntingmentioning

confidence: 99%

The Special Case of Sea Mines

Tellez¹,

Borghgraef²,

Mersch³

2017

Mine Action - The Research Experience of the Royal Military Academy of Belgium

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“…In many cases, the magnetic target can be treated as a dipole, and the magnetic field produced by target may be considered as dipole field [12,15].…”

Section: Magnetic Anomaly Detectionmentioning

confidence: 99%

Parabolic Trail Obf in Magnetic Anomaly Detection

Yang¹,

Liu²,

Fang³

2017

PIER B

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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.

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“…With the development of magnetic signal processing technology [1][2][3][4][5][6][7], magnetic anomaly detection (MAD) has been widely applied for ferromagnetic object detection and location which plays important roles in many situations such as area surveillance and boundary security [8,9], motion tracking [10,11], and crack detection [12,13].…”

Section: Introductionmentioning

confidence: 99%

Automatic Search Algorithms for Near-Field Ferromagnetic Targets Based on Magnetic Anomaly Detection

Zhang

Wang

Lin

et al. 2018

Mathematical Problems in Engineering

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For searching and detecting near-field unknown ferromagnetic targets, four automatic search algorithms are proposed based on magnetic anomaly information from any position on planes or in space. Firstly, gradient search algorithms and enhanced gradient search algorithms are deduced using magnetic modulus anomaly information and magnetic vector anomaly information. In each algorithm, there are plane search forms and space search forms considering different practical search situations. Then the magnetic anomaly space data of typical magnetic source of oblique magnetization are forwardly simulated by ANSYS MAXWELL software. The plane distributions of some variables are numerically computed and the search destinations of different algorithms are predicted. Four automatic search algorithms are applied to simulate search paths on three characteristic orthogonal planes and in whole solution space. The factor affecting the performance of algorithms is analyzed. Features of each algorithm in different conditions are analyzed and suitable applications are discussed and verified by the experiment. The results show that proposed search algorithms require few prior information and have real-time performance for searching and tracking magnetic anomaly target.

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Processing of a scalar magnetometer signal contaminated by 1/fα noise

Cited by 76 publications

References 4 publications

The Special Case of Sea Mines

The Special Case of Sea Mines

Parabolic Trail Obf in Magnetic Anomaly Detection

Automatic Search Algorithms for Near-Field Ferromagnetic Targets Based on Magnetic Anomaly Detection

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