Real-Time Detection of Moving Magnetic Target Using Distributed Scalar Sensor Based on Hybrid Algorithm of Particle Swarm Optimization and Gauss–Newton Method

Ge, Jianhua; Wang, Shuqiao; Dong, Haobin; Liu, Huan; Zhou, Dan; Wu, Shuang; Luo, Wang; Zhu, Jun; Yuan, Zhiwen; Zhang, Haiyang

doi:10.1109/jsen.2020.2994324

Cited by 21 publications

(4 citation statements)

References 28 publications

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“…This method can be applied to derive the fundamental curve of the complete lightning pulse voltage, corrected for oscillation, from the test case parameters in accordance with the standard (IEC 61083-2) [24]. To determine the characteristic parameters of moving magnetic targets using existing data, Ge et al [25] introduced a real-time detection method for distributed scalar sensor networks. This method employs a hybrid algorithm that combines particle swarm optimization (PSO) with the Gauss-Newton method.…”

Section: Introductionmentioning

confidence: 99%

Dimensionless Analysis of the Spatial–Temporal Coupling Characteristics of the Surrounding Rock Temperature Field in High Geothermal Roadway Realized by Gauss–Newton Iteration Method

Zhou,

Zhang,

Shi

et al. 2024

Applied Sciences

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Understanding the time–space coupling characteristics of the surrounding rock temperature field in high geothermal roadways is essential for controlling heat damage in mines. However, current research primarily focuses on individually analyzing the temperature changes in the surrounding rock of roadways, either over time or space. Therefore, the Gauss–Newton iteration method is employed to model the coupling relationship between temperature, time, and space. The results demonstrate that the dual coupling function describing the temperature field of the surrounding rock in both time and space provides a more comprehensive characterization of the temperature variations. Over time, as ventilation duration increases, the fitting degree of the characteristic curve steadily rises, and the characteristic curve descends overall. In the spatial dimension, the fitting degree of the characteristic curve gradually decreases with the rise of the dimensionless radius, and the characteristic curve ascends overall. Additionally, as thermal conductivity increases, the fitting degree of the characteristic curve steadily rises.

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Section: Introductionmentioning

confidence: 99%

Dimensionless Analysis of the Spatial–Temporal Coupling Characteristics of the Surrounding Rock Temperature Field in High Geothermal Roadway Realized by Gauss–Newton Iteration Method

Zhou,

Zhang,

Shi

et al. 2024

Applied Sciences

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“…In contrast, iterative methods dispense with the calculations of derivatives and establish profound mathematical map-ping connecting the target location and magnetic moment with the magnetic anomaly fields. Directionally sensitive algorithms are usually employed in iterative methods, such as the Levenberg-Marquardt algorithm [42], Gauss-Newton algorithm [43], simulated annealing [44], and genetic algorithm [45]. ML-based methods were also developed for the localization of undersurface magnetic targets [46,47].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Basis Function Method for the Detection of an Undersurface Magnetic Anomaly Target

Liu,

Yuan,

et al. 2024

Remote Sensing

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The orthogonal basis functions (OBFs) method is a prevailing choice for the detection of undersurface magnetic anomaly targets. However, it requires the detecting platform or target to move uniformly along a straight path. To circumvent the restrictions, a new adaptive basis functions (ABFs) approach is proposed in this article. It permits the detection platform to search for a possible target at different speeds along any course. The ABFs are constructed using the real-time data of the onboard triaxial fluxgate, GPS module, and attitude gyro. Based on the pseudo-energy of an apparent target signal, the constant false alarm rate (CFAR) method is employed to judge whether a target is present. Moreover, by defining the pixel as a relative possibility for a target at a geographic location, a magnetic anomaly target imaging scheme is introduced by displaying the pixels onto the searching area. On-site experimental data are utilized to demonstrate the proposed approach. Compared with the traditional OBFs method, the present ABFs approach can substantially improve the detection possibility and reduce false alarms.

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“…rough the process of coherent demodulation, the varying curve of alternating magnetic field could be obtained. A hybrid algorithm combining the Gauss-Newton algorithm and genetic algorithm was applied to obtain the track of a moving target, which showed a good agreement with the actual motion information [18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Localization of Alternating Magnetic Dipole in the Near-Field Zone with Single-Component Magnetometers

Xiang

Bo-cheng

Wang

2021

Mathematical Problems in Engineering

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Tri-axis magnetometers are widely used to measure magnetic field in engineering of the magnetic localization technology. However, the magnetic field measurement precision is influenced by the nonorthogonal error of tri-axis magnetometers. A locating model of the alternating magnetic dipole in the near-field zone with single-component magnetometers was proposed in this paper. Using the vertical component of the low-frequency magnetic field acquired by at least six single-component magnetometers, the localization of an alternating magnetic dipole could be attributed to the solution for a class of nonlinear unconstrained optimization problem. In order to calculate the locating information of alternating magnetic dipole, a hybrid algorithm combining the Gauss–Newton algorithm and genetic algorithm was applied. The theoretical simulation and field experiment for the localization of alternating magnetic dipole source were carried out, respectively. The positioning result is stable and reliable, indicating that the locating model has better performance and could meet the requirements of actual positioning.

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Real-Time Detection of Moving Magnetic Target Using Distributed Scalar Sensor Based on Hybrid Algorithm of Particle Swarm Optimization and Gauss–Newton Method

Cited by 21 publications

References 28 publications

Dimensionless Analysis of the Spatial–Temporal Coupling Characteristics of the Surrounding Rock Temperature Field in High Geothermal Roadway Realized by Gauss–Newton Iteration Method

Dimensionless Analysis of the Spatial–Temporal Coupling Characteristics of the Surrounding Rock Temperature Field in High Geothermal Roadway Realized by Gauss–Newton Iteration Method

Adaptive Basis Function Method for the Detection of an Undersurface Magnetic Anomaly Target

Localization of Alternating Magnetic Dipole in the Near-Field Zone with Single-Component Magnetometers

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