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A Robust Tracking Method for Multiple Moving Targets Based on Equivalent Magnetic Force
A ferromagnetic vehicle, such as a submarine, magnetized by the Earth’s magnetic field produces a magnetic anomaly field, and the tracking of moving targets can be realized through real-time analysis of magnetic data. At present, there are few tracking methods based on magnetic field vectors and the...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694121/ https://www.ncbi.nlm.nih.gov/pubmed/36422447 http://dx.doi.org/10.3390/mi13112018 |
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author | Wang, Ying Fu, Qiang Sui, Yangyi |
author_facet | Wang, Ying Fu, Qiang Sui, Yangyi |
author_sort | Wang, Ying |
collection | PubMed |
description | A ferromagnetic vehicle, such as a submarine, magnetized by the Earth’s magnetic field produces a magnetic anomaly field, and the tracking of moving targets can be realized through real-time analysis of magnetic data. At present, there are few tracking methods based on magnetic field vectors and their gradient tensor. In this paper, the magnetic field vector and its gradient tensor are used to calculate equivalent magnetic force. It shows the direction of the vector between the detector and the tracking targets for controlling the direction of motion of the detector and achieving the purpose of tracking. Compared with existing positioning methods, the proposed method is relatively less affected by instrument resolution and noise and maintains robustness when the velocity vectors of multiple magnetic targets change randomly. |
format | Online Article Text |
id | pubmed-9694121 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96941212022-11-26 A Robust Tracking Method for Multiple Moving Targets Based on Equivalent Magnetic Force Wang, Ying Fu, Qiang Sui, Yangyi Micromachines (Basel) Article A ferromagnetic vehicle, such as a submarine, magnetized by the Earth’s magnetic field produces a magnetic anomaly field, and the tracking of moving targets can be realized through real-time analysis of magnetic data. At present, there are few tracking methods based on magnetic field vectors and their gradient tensor. In this paper, the magnetic field vector and its gradient tensor are used to calculate equivalent magnetic force. It shows the direction of the vector between the detector and the tracking targets for controlling the direction of motion of the detector and achieving the purpose of tracking. Compared with existing positioning methods, the proposed method is relatively less affected by instrument resolution and noise and maintains robustness when the velocity vectors of multiple magnetic targets change randomly. MDPI 2022-11-18 /pmc/articles/PMC9694121/ /pubmed/36422447 http://dx.doi.org/10.3390/mi13112018 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Ying Fu, Qiang Sui, Yangyi A Robust Tracking Method for Multiple Moving Targets Based on Equivalent Magnetic Force |
title | A Robust Tracking Method for Multiple Moving Targets Based on Equivalent Magnetic Force |
title_full | A Robust Tracking Method for Multiple Moving Targets Based on Equivalent Magnetic Force |
title_fullStr | A Robust Tracking Method for Multiple Moving Targets Based on Equivalent Magnetic Force |
title_full_unstemmed | A Robust Tracking Method for Multiple Moving Targets Based on Equivalent Magnetic Force |
title_short | A Robust Tracking Method for Multiple Moving Targets Based on Equivalent Magnetic Force |
title_sort | robust tracking method for multiple moving targets based on equivalent magnetic force |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694121/ https://www.ncbi.nlm.nih.gov/pubmed/36422447 http://dx.doi.org/10.3390/mi13112018 |
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