Underwater Multi-Parameter Magnetic Anomaly Detection System Carried by Autonomous Underwater Vehicle and Its Data Preprocessing Method

Wang, Zhen; Liu, Shengwei; Guo, Yanguo; Wu, Yongpeng; Wang, Yi

doi:10.1109/icemi59194.2023.10270437

2023 IEEE 16th International Conference on Electronic Measurement &Amp; Instruments (ICEMI) 2023

DOI: 10.1109/icemi59194.2023.10270437

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Underwater Multi-Parameter Magnetic Anomaly Detection System Carried by Autonomous Underwater Vehicle and Its Data Preprocessing Method

Zhen Wang,

Shengwei Liu,

Yanguo Guo

et al.

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2024

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Cited by 1 publication

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Processing of unmanned underwater vehicle vector magnetometer data

Oehler,

Schifano,

Marquis

et al. 2024

Geophysical Prospecting

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Marine magnetometry very close to the targeted sources, even in very deep waters, is today a reality with the advent of autonomous underwater vehicles. We argue that a successful approach is to fully integrate the magnetometer onboard the autonomous underwater vehicle and to deal with its static magnetic noise, that is induced and permanent fields of the drone, with a 3‐axis vector measurement of the Earth's magnetic field. This argument is supported by results from three magnetic surveys performed with different fluxgate magnetic sensors embedded in autonomous underwater vehicles of increasing sizes. They show that simple specifically defined figures of merit coupled to an optimized scalar calibration procedure derived from aeromagnetic and satellite‐borne developments produce reliable magnetic measurements from autonomous underwater vehicles for geophysical mapping or detection applications. Results are impressive and show that even weak magnetic anomalies smaller than 10 nT can be highlighted even though the magnetic signatures of autonomous underwater vehicles can be orders of magnitude higher.

show abstract

Processing of unmanned underwater vehicle vector magnetometer data

Oehler,

Schifano,

Marquis

et al. 2024

Geophysical Prospecting

View full text Add to dashboard Cite

show abstract

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Underwater Multi-Parameter Magnetic Anomaly Detection System Carried by Autonomous Underwater Vehicle and Its Data Preprocessing Method

Cited by 1 publication

References 19 publications

Processing of unmanned underwater vehicle vector magnetometer data

Processing of unmanned underwater vehicle vector magnetometer data

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