Localization of magnetic dipole targets

Vaizer, L.; Lathrop, John D.; Bono, J.

doi:10.1109/oceans.2004.1405582

Cited by 24 publications

(16 citation statements)

References 1 publication

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“…Prior approaches to determination of r and M include inversion of (2.3a) and a dipoleequation-based iterative least-squares-fit to the tensor equations (2,3a) [13,14].…”

Section: B Tensor Gradiometrymentioning

confidence: 99%

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Generalized Magnetic Gradient Contraction Based Method for Detection, Localization and Discrimination of Underwater Mines and Unexploded Ordnance

Wiegert

Oeschger²

Proceedings of OCEANS 2005 MTS/IEEE

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We report significant progress toward full development of a unique magnetic-gradienttensor-based "Scalar Triangulation and Ranging (STAR)" method for detection, localization and classification (DLC) of magnetic targets. The STAR method converts magnetic tensors to rotationally invariant scalar parameters that are virtually unaffected by the effects of sensing platform motion. Thus, the STAR method is particularly appropriate for magnetic target DLC using highly mobile sensing platforms such as Autonomous Underwater Vehicles (AUV). Prior work has resulted in development of a twodimensional (2-D) magnetic target-homing concept for fully autonomous localization of mines using crawler-type AUVs. However, the simple 2-D STAR approach cannot effectively discriminate between magnetic clutter and mine-like target signatures.Improved, 3-D simulations demonstrate that the STAR concept can be applied to measurements of the vector positions and dipole signatures of magnetic objects. The new results indicate that an improved STAR system will provide an enhanced capability for discrimination between magnetic clutter and real targets such as magnetic mines and Unexploded Ordnance (UXO).Consequently, further development of the advanced STAR concept will provide high-mobility autonomous sensing platforms (such as AUVs and man-portable systems) with a uniquely effective modality for DLC of magnetic mines and UXO.

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“…Prior approaches to determination of r and M include inversion of (2.3a) and a dipoleequation-based iterative least-squares-fit to the tensor equations (2,3a) [13,14].…”

Section: B Tensor Gradiometrymentioning

confidence: 99%

“…In practice, conventional mobile gradiometry requires a quasi inertial-platform-type motion wherein the sensing system is constrained to move at nearly constant velocity along straight-line paths with little change in sensor orientation [13,14].…”

Section: B Tensor Gradiometrymentioning

confidence: 99%

Generalized Magnetic Gradient Contraction Based Method for Detection, Localization and Discrimination of Underwater Mines and Unexploded Ordnance

Wiegert

Oeschger²

Proceedings of OCEANS 2005 MTS/IEEE

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“…The BOSS system is a low-frequency broadband 3-20 kHz bottom-penetrating sonar which uses synthetic aperture processing to create subsurface images of buried objects in the upper bottom layers. The combined RTG provides coregistered identification of magnetic targets [41], and from an archaeological perspective is a power tool for disambiguating potential artefacts in complex terrain. Figure 4 shows example data for the BOSS system, which was able to register acoustic and magnetic field signatures of buried cannons and numerous other smaller objects.…”

Section: Multi-sensor Investigationsmentioning

confidence: 99%

Autonomous Underwater Vehicles as Tools for Deep-Submergence Archaeology

Roman

Mather

2010

Proceedings of the Institution of Mechanical Engineers, Part M:

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Marine archaeology beyond the capabilities of scuba divers is a technologically enabled field. The tool suite includes ship-based systems such as towed side-scan sonars and remotely operated vehicles, and more recently free-swimming autonomous underwater vehicles (AUVs). Each of these platforms has various imaging and mapping capabilities appropriate for specific scales and tasks. Broadly speaking, AUVs are becoming effective tools for locating, identifying, and surveying archaeological sites. This paper discusses the role of AUVs in this suite of tools, outlines some specific design criteria necessary to maximize their utility in the field, and presents directions for future developments. Results are presented for a recent joint AUV-towed system survey and a demonstration of current mine-hunting technologies applied to archaeology.

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“…For this reason, novel signal processing techniques that are more robust against noise in data were developed based on the statistical approach of finding the best correlation to possible signal. Such methods are linear statistical analysis [10], [11], and Monte Carlo simulation [12], [13].…”

Section: Introductionmentioning

confidence: 99%

Recursive Bayesian Method for Magnetic Dipole Tracking With a Tensor Gradiometer

Birsan

2011

IEEE Trans. Magn.

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Previous magnetic dipole localization algorithms using gradient data attempt to find the position of the magnetic source at the measurement time only. Based on the direct inversion of the magnetic gradient tensor, these methods provide results that can be highly sensitive to temporal noise in data. To avoid a temporally scattered solution, a recursive approach is proposed that is promising for estimating the trajectory and the magnetic moment components of a target modeled as a magnetic dipole source using data collected with a gradiometer. In this study, the determination of target position, magnetic moment, and velocity is formulated as a Bayesian estimation problem for dynamic systems, which could be solved using a sequential Monte Carlo based approach known as the "particle filter." This filter represents the posterior distribution of the state variables by a system of particles which evolve and adapt recursively as new information becomes available. In addition to the conventional particle filter, the proposed tracking and classification algorithm uses the unscented Kalman filter (UKF) to generate the prior distribution of the unknown parameters. The proposed method is then demonstrated by applying it to real data collected when an automobile was passing by a gradiometer either on a straight or a curved track. The results indicate that the recursive method is less sensitive to noise than the direct inversion solution, even if not all the components of the gradient tensor were used.

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Localization of magnetic dipole targets

Cited by 24 publications

References 1 publication

Generalized Magnetic Gradient Contraction Based Method for Detection, Localization and Discrimination of Underwater Mines and Unexploded Ordnance

Generalized Magnetic Gradient Contraction Based Method for Detection, Localization and Discrimination of Underwater Mines and Unexploded Ordnance

Autonomous Underwater Vehicles as Tools for Deep-Submergence Archaeology

Recursive Bayesian Method for Magnetic Dipole Tracking With a Tensor Gradiometer

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