A Simple and Novel Localization Method Using the Radiated Ultra-Low-Frequency Electromagnetic Wave Signals from the Surface Vehicle and Submerged Ones

Because the surface and submerged vehicles radiate Ultra-Low-Frequency (ULF) Electromagnetic waves, the status of the vehicles in the ocean can be detected and explored by analyzing such signals, and this has been gained increasing attention. In this paper, a hybrid algorithm of the ant colony algor...
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Autor*in:	Ke Yang [verfasserIn] Dongsheng Li [verfasserIn] Hao Li [verfasserIn] Kai Ding [verfasserIn] Bin Li [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	localization algorithm ULF electromagnetic wave magnetic vehicle models

Übergeordnetes Werk:	In: Electronics - MDPI AG, 2013, 10(2021), 7, p 784
Übergeordnetes Werk:	volume:10 ; year:2021 ; number:7, p 784

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/electronics10070784

Katalog-ID:	DOAJ084323671

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520			\|a Because the surface and submerged vehicles radiate Ultra-Low-Frequency (ULF) Electromagnetic waves, the status of the vehicles in the ocean can be detected and explored by analyzing such signals, and this has been gained increasing attention. In this paper, a hybrid algorithm of the ant colony algorithm and Levenberg–Marquardt algorithm is proposed to locate a moving target with a constant speed based on the fully investigation of the uniformly magnetized spheroid model. Additionally, an experiment has been conducted to validate the performance of the hybrid algorithm. At the same time, the comparison between the proposed ellipsoid model with the conventional dipole model has also been done, and the results show that the calculated results based on the prolate spheroid model agree well with the recorded GPS results with maximum 6.67% average error, which is way better than the dipole model (31.59%, max.).
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spelling	10.3390/electronics10070784 doi (DE-627)DOAJ084323671 (DE-599)DOAJ55cc2ec69cf24ea282bbe925e623f761 DE-627 ger DE-627 rakwb eng TK7800-8360 Ke Yang verfasserin aut A Simple and Novel Localization Method Using the Radiated Ultra-Low-Frequency Electromagnetic Wave Signals from the Surface Vehicle and Submerged Ones 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Because the surface and submerged vehicles radiate Ultra-Low-Frequency (ULF) Electromagnetic waves, the status of the vehicles in the ocean can be detected and explored by analyzing such signals, and this has been gained increasing attention. In this paper, a hybrid algorithm of the ant colony algorithm and Levenberg–Marquardt algorithm is proposed to locate a moving target with a constant speed based on the fully investigation of the uniformly magnetized spheroid model. Additionally, an experiment has been conducted to validate the performance of the hybrid algorithm. At the same time, the comparison between the proposed ellipsoid model with the conventional dipole model has also been done, and the results show that the calculated results based on the prolate spheroid model agree well with the recorded GPS results with maximum 6.67% average error, which is way better than the dipole model (31.59%, max.). localization algorithm ULF electromagnetic wave magnetic vehicle models Electronics Dongsheng Li verfasserin aut Hao Li verfasserin aut Kai Ding verfasserin aut Bin Li verfasserin aut In Electronics MDPI AG, 2013 10(2021), 7, p 784 (DE-627)718626478 (DE-600)2662127-7 20799292 nnns volume:10 year:2021 number:7, p 784 https://doi.org/10.3390/electronics10070784 kostenfrei https://doaj.org/article/55cc2ec69cf24ea282bbe925e623f761 kostenfrei https://www.mdpi.com/2079-9292/10/7/784 kostenfrei https://doaj.org/toc/2079-9292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2021 7, p 784
allfields_unstemmed	10.3390/electronics10070784 doi (DE-627)DOAJ084323671 (DE-599)DOAJ55cc2ec69cf24ea282bbe925e623f761 DE-627 ger DE-627 rakwb eng TK7800-8360 Ke Yang verfasserin aut A Simple and Novel Localization Method Using the Radiated Ultra-Low-Frequency Electromagnetic Wave Signals from the Surface Vehicle and Submerged Ones 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Because the surface and submerged vehicles radiate Ultra-Low-Frequency (ULF) Electromagnetic waves, the status of the vehicles in the ocean can be detected and explored by analyzing such signals, and this has been gained increasing attention. In this paper, a hybrid algorithm of the ant colony algorithm and Levenberg–Marquardt algorithm is proposed to locate a moving target with a constant speed based on the fully investigation of the uniformly magnetized spheroid model. Additionally, an experiment has been conducted to validate the performance of the hybrid algorithm. At the same time, the comparison between the proposed ellipsoid model with the conventional dipole model has also been done, and the results show that the calculated results based on the prolate spheroid model agree well with the recorded GPS results with maximum 6.67% average error, which is way better than the dipole model (31.59%, max.). localization algorithm ULF electromagnetic wave magnetic vehicle models Electronics Dongsheng Li verfasserin aut Hao Li verfasserin aut Kai Ding verfasserin aut Bin Li verfasserin aut In Electronics MDPI AG, 2013 10(2021), 7, p 784 (DE-627)718626478 (DE-600)2662127-7 20799292 nnns volume:10 year:2021 number:7, p 784 https://doi.org/10.3390/electronics10070784 kostenfrei https://doaj.org/article/55cc2ec69cf24ea282bbe925e623f761 kostenfrei https://www.mdpi.com/2079-9292/10/7/784 kostenfrei https://doaj.org/toc/2079-9292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2021 7, p 784
allfieldsGer	10.3390/electronics10070784 doi (DE-627)DOAJ084323671 (DE-599)DOAJ55cc2ec69cf24ea282bbe925e623f761 DE-627 ger DE-627 rakwb eng TK7800-8360 Ke Yang verfasserin aut A Simple and Novel Localization Method Using the Radiated Ultra-Low-Frequency Electromagnetic Wave Signals from the Surface Vehicle and Submerged Ones 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Because the surface and submerged vehicles radiate Ultra-Low-Frequency (ULF) Electromagnetic waves, the status of the vehicles in the ocean can be detected and explored by analyzing such signals, and this has been gained increasing attention. In this paper, a hybrid algorithm of the ant colony algorithm and Levenberg–Marquardt algorithm is proposed to locate a moving target with a constant speed based on the fully investigation of the uniformly magnetized spheroid model. Additionally, an experiment has been conducted to validate the performance of the hybrid algorithm. At the same time, the comparison between the proposed ellipsoid model with the conventional dipole model has also been done, and the results show that the calculated results based on the prolate spheroid model agree well with the recorded GPS results with maximum 6.67% average error, which is way better than the dipole model (31.59%, max.). localization algorithm ULF electromagnetic wave magnetic vehicle models Electronics Dongsheng Li verfasserin aut Hao Li verfasserin aut Kai Ding verfasserin aut Bin Li verfasserin aut In Electronics MDPI AG, 2013 10(2021), 7, p 784 (DE-627)718626478 (DE-600)2662127-7 20799292 nnns volume:10 year:2021 number:7, p 784 https://doi.org/10.3390/electronics10070784 kostenfrei https://doaj.org/article/55cc2ec69cf24ea282bbe925e623f761 kostenfrei https://www.mdpi.com/2079-9292/10/7/784 kostenfrei https://doaj.org/toc/2079-9292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2021 7, p 784
allfieldsSound	10.3390/electronics10070784 doi (DE-627)DOAJ084323671 (DE-599)DOAJ55cc2ec69cf24ea282bbe925e623f761 DE-627 ger DE-627 rakwb eng TK7800-8360 Ke Yang verfasserin aut A Simple and Novel Localization Method Using the Radiated Ultra-Low-Frequency Electromagnetic Wave Signals from the Surface Vehicle and Submerged Ones 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Because the surface and submerged vehicles radiate Ultra-Low-Frequency (ULF) Electromagnetic waves, the status of the vehicles in the ocean can be detected and explored by analyzing such signals, and this has been gained increasing attention. In this paper, a hybrid algorithm of the ant colony algorithm and Levenberg–Marquardt algorithm is proposed to locate a moving target with a constant speed based on the fully investigation of the uniformly magnetized spheroid model. Additionally, an experiment has been conducted to validate the performance of the hybrid algorithm. At the same time, the comparison between the proposed ellipsoid model with the conventional dipole model has also been done, and the results show that the calculated results based on the prolate spheroid model agree well with the recorded GPS results with maximum 6.67% average error, which is way better than the dipole model (31.59%, max.). localization algorithm ULF electromagnetic wave magnetic vehicle models Electronics Dongsheng Li verfasserin aut Hao Li verfasserin aut Kai Ding verfasserin aut Bin Li verfasserin aut In Electronics MDPI AG, 2013 10(2021), 7, p 784 (DE-627)718626478 (DE-600)2662127-7 20799292 nnns volume:10 year:2021 number:7, p 784 https://doi.org/10.3390/electronics10070784 kostenfrei https://doaj.org/article/55cc2ec69cf24ea282bbe925e623f761 kostenfrei https://www.mdpi.com/2079-9292/10/7/784 kostenfrei https://doaj.org/toc/2079-9292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2021 7, p 784
language	English
source	In Electronics 10(2021), 7, p 784 volume:10 year:2021 number:7, p 784
sourceStr	In Electronics 10(2021), 7, p 784 volume:10 year:2021 number:7, p 784
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	localization algorithm ULF electromagnetic wave magnetic vehicle models Electronics
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authorswithroles_txt_mv	Ke Yang @@aut@@ Dongsheng Li @@aut@@ Hao Li @@aut@@ Kai Ding @@aut@@ Bin Li @@aut@@
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callnumber-first	T - Technology
author	Ke Yang
spellingShingle	Ke Yang misc TK7800-8360 misc localization algorithm misc ULF electromagnetic wave misc magnetic vehicle models misc Electronics A Simple and Novel Localization Method Using the Radiated Ultra-Low-Frequency Electromagnetic Wave Signals from the Surface Vehicle and Submerged Ones
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topic_title	TK7800-8360 A Simple and Novel Localization Method Using the Radiated Ultra-Low-Frequency Electromagnetic Wave Signals from the Surface Vehicle and Submerged Ones localization algorithm ULF electromagnetic wave magnetic vehicle models
topic	misc TK7800-8360 misc localization algorithm misc ULF electromagnetic wave misc magnetic vehicle models misc Electronics
topic_unstemmed	misc TK7800-8360 misc localization algorithm misc ULF electromagnetic wave misc magnetic vehicle models misc Electronics
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title	A Simple and Novel Localization Method Using the Radiated Ultra-Low-Frequency Electromagnetic Wave Signals from the Surface Vehicle and Submerged Ones
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title_full	A Simple and Novel Localization Method Using the Radiated Ultra-Low-Frequency Electromagnetic Wave Signals from the Surface Vehicle and Submerged Ones
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title_sort	simple and novel localization method using the radiated ultra-low-frequency electromagnetic wave signals from the surface vehicle and submerged ones
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title_auth	A Simple and Novel Localization Method Using the Radiated Ultra-Low-Frequency Electromagnetic Wave Signals from the Surface Vehicle and Submerged Ones
abstract	Because the surface and submerged vehicles radiate Ultra-Low-Frequency (ULF) Electromagnetic waves, the status of the vehicles in the ocean can be detected and explored by analyzing such signals, and this has been gained increasing attention. In this paper, a hybrid algorithm of the ant colony algorithm and Levenberg–Marquardt algorithm is proposed to locate a moving target with a constant speed based on the fully investigation of the uniformly magnetized spheroid model. Additionally, an experiment has been conducted to validate the performance of the hybrid algorithm. At the same time, the comparison between the proposed ellipsoid model with the conventional dipole model has also been done, and the results show that the calculated results based on the prolate spheroid model agree well with the recorded GPS results with maximum 6.67% average error, which is way better than the dipole model (31.59%, max.).
abstractGer	Because the surface and submerged vehicles radiate Ultra-Low-Frequency (ULF) Electromagnetic waves, the status of the vehicles in the ocean can be detected and explored by analyzing such signals, and this has been gained increasing attention. In this paper, a hybrid algorithm of the ant colony algorithm and Levenberg–Marquardt algorithm is proposed to locate a moving target with a constant speed based on the fully investigation of the uniformly magnetized spheroid model. Additionally, an experiment has been conducted to validate the performance of the hybrid algorithm. At the same time, the comparison between the proposed ellipsoid model with the conventional dipole model has also been done, and the results show that the calculated results based on the prolate spheroid model agree well with the recorded GPS results with maximum 6.67% average error, which is way better than the dipole model (31.59%, max.).
abstract_unstemmed	Because the surface and submerged vehicles radiate Ultra-Low-Frequency (ULF) Electromagnetic waves, the status of the vehicles in the ocean can be detected and explored by analyzing such signals, and this has been gained increasing attention. In this paper, a hybrid algorithm of the ant colony algorithm and Levenberg–Marquardt algorithm is proposed to locate a moving target with a constant speed based on the fully investigation of the uniformly magnetized spheroid model. Additionally, an experiment has been conducted to validate the performance of the hybrid algorithm. At the same time, the comparison between the proposed ellipsoid model with the conventional dipole model has also been done, and the results show that the calculated results based on the prolate spheroid model agree well with the recorded GPS results with maximum 6.67% average error, which is way better than the dipole model (31.59%, max.).
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container_issue	7, p 784
title_short	A Simple and Novel Localization Method Using the Radiated Ultra-Low-Frequency Electromagnetic Wave Signals from the Surface Vehicle and Submerged Ones
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up_date	2024-07-03T22:24:42.847Z
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A Simple and Novel Localization Method Using the Radiated Ultra-Low-Frequency Electromagnetic Wave Signals from the Surface Vehicle and Submerged Ones

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