Analysis of Interference Magnetic Field Characteristics of Underwater Gliders

Underwater gliders are a new type of unmanned underwater vehicle, characterized by high energy efficiency, long endurance, and low operational costs. They hold broad application prospects in fields such as ocean exploration, resource surveying, maritime surveillance, and military defense. This paper...

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Main Authors: Taotao Xie, Dawei Xiao, Jiawei Zhang, Qing Ji
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:https://www.mdpi.com/2077-1312/13/2/330
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author Taotao Xie
Dawei Xiao
Jiawei Zhang
Qing Ji
author_facet Taotao Xie
Dawei Xiao
Jiawei Zhang
Qing Ji
author_sort Taotao Xie
collection DOAJ
description Underwater gliders are a new type of unmanned underwater vehicle, characterized by high energy efficiency, long endurance, and low operational costs. They hold broad application prospects in fields such as ocean exploration, resource surveying, maritime surveillance, and military defense. This paper takes underwater gliders as the research subject, analyzing the characteristics of magnetic interference signals under different operational conditions. The study found that during full operational states, the motor’s operation generates interference signals at 17 Hz; during attitude adjustment, the movement of the moving block generates significant interference magnetic fields, especially during the forward and backward motion of the block, where interference signals at 20 Hz are particularly pronounced. To meet the objective of equipping underwater gliders with magnetic field sensors for underwater target detection, this paper proposes an adaptive filtering method based on the Recursive Least Squares (RLS) algorithm. The experimental results indicate that after filtering with the RLS algorithm, the amplitude of the noise signal has been reduced by over 60%, and it can effectively eliminate the noise components at 17 Hz and 20 Hz caused by the glider’s motor. This algorithm achieves an average increase in the signal-to-noise ratio (SNR) of 12 dB, which is equivalent to an approximately 80% improvement in accuracy. It significantly enhances the stability and signal-to-noise ratio of the magnetic field signals of underwater targets. This provides a feasible solution for equipping underwater gliders with magnetic field sensors for underwater target detection, holding important practical engineering significance.
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issn 2077-1312
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publishDate 2025-02-01
publisher MDPI AG
record_format Article
series Journal of Marine Science and Engineering
spelling doaj-art-b3447465c149441ebd0b143ab142b3592025-08-20T02:44:56ZengMDPI AGJournal of Marine Science and Engineering2077-13122025-02-0113233010.3390/jmse13020330Analysis of Interference Magnetic Field Characteristics of Underwater GlidersTaotao Xie0Dawei Xiao1Jiawei Zhang2Qing Ji3Department of Weaponary Engineering, Naval University of Engineering, Wuhan 430033, ChinaDepartment of Weaponary Engineering, Naval University of Engineering, Wuhan 430033, ChinaDepartment of Weaponary Engineering, Naval University of Engineering, Wuhan 430033, ChinaDepartment of Weaponary Engineering, Naval University of Engineering, Wuhan 430033, ChinaUnderwater gliders are a new type of unmanned underwater vehicle, characterized by high energy efficiency, long endurance, and low operational costs. They hold broad application prospects in fields such as ocean exploration, resource surveying, maritime surveillance, and military defense. This paper takes underwater gliders as the research subject, analyzing the characteristics of magnetic interference signals under different operational conditions. The study found that during full operational states, the motor’s operation generates interference signals at 17 Hz; during attitude adjustment, the movement of the moving block generates significant interference magnetic fields, especially during the forward and backward motion of the block, where interference signals at 20 Hz are particularly pronounced. To meet the objective of equipping underwater gliders with magnetic field sensors for underwater target detection, this paper proposes an adaptive filtering method based on the Recursive Least Squares (RLS) algorithm. The experimental results indicate that after filtering with the RLS algorithm, the amplitude of the noise signal has been reduced by over 60%, and it can effectively eliminate the noise components at 17 Hz and 20 Hz caused by the glider’s motor. This algorithm achieves an average increase in the signal-to-noise ratio (SNR) of 12 dB, which is equivalent to an approximately 80% improvement in accuracy. It significantly enhances the stability and signal-to-noise ratio of the magnetic field signals of underwater targets. This provides a feasible solution for equipping underwater gliders with magnetic field sensors for underwater target detection, holding important practical engineering significance.https://www.mdpi.com/2077-1312/13/2/330underwater detectionunderwater gliderselectromagnetic fieldelectromagnetic detectioncharacteristics of electromagnetic fields
spellingShingle Taotao Xie
Dawei Xiao
Jiawei Zhang
Qing Ji
Analysis of Interference Magnetic Field Characteristics of Underwater Gliders
Journal of Marine Science and Engineering
underwater detection
underwater gliders
electromagnetic field
electromagnetic detection
characteristics of electromagnetic fields
title Analysis of Interference Magnetic Field Characteristics of Underwater Gliders
title_full Analysis of Interference Magnetic Field Characteristics of Underwater Gliders
title_fullStr Analysis of Interference Magnetic Field Characteristics of Underwater Gliders
title_full_unstemmed Analysis of Interference Magnetic Field Characteristics of Underwater Gliders
title_short Analysis of Interference Magnetic Field Characteristics of Underwater Gliders
title_sort analysis of interference magnetic field characteristics of underwater gliders
topic underwater detection
underwater gliders
electromagnetic field
electromagnetic detection
characteristics of electromagnetic fields
url https://www.mdpi.com/2077-1312/13/2/330
work_keys_str_mv AT taotaoxie analysisofinterferencemagneticfieldcharacteristicsofunderwatergliders
AT daweixiao analysisofinterferencemagneticfieldcharacteristicsofunderwatergliders
AT jiaweizhang analysisofinterferencemagneticfieldcharacteristicsofunderwatergliders
AT qingji analysisofinterferencemagneticfieldcharacteristicsofunderwatergliders