Frequency Response Extension Method of MET Vector Hydrophone Based on Dynamic Feedback Network

Hydrophone is a key component of marine seismic exploration systems, divided into a scalar hydrophone and vector hydrophone. The electrochemical vector hydrophone has attracted much attention due to its high sensitivity and low-frequency detection capability. With the development of noise reduction technology, high-frequency noise has been effectively suppressed, while low-frequency noise is still difficult to control, which has become a key issue in the monitoring of underwater target radiation noise. The traditional electrochemical vector hydrophone based on the molecular electron transfer (MET) principle is limited in the working bandwidth in the low-frequency band, which affects the detection capability of low-frequency radiation signals from underwater targets. In order to solve this problem, a frequency response extension method of a MET electrochemical vector hydrophone based on dynamic feedback network is proposed. By introducing a dynamic force balance negative feedback system based on a digital signal processor (DSP), the working bandwidth of the hydrophone is extended, and the detection capability of low-frequency signals is enhanced. At the same time, the system has field adjustability and can resist the long-term system frequency characteristic drift. Experimental results show that the proposed method effectively improves the frequency response performance of the electrochemical vector hydrophone, providing a new technical solution for its application in the monitoring of low-frequency radiation noise from underwater targets.

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Publication Details

Journal
Applied Sciences
Published
2025-02-05
DOI
https://doi.org/10.3390/app15031620
Citations
2
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
2.97
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Frequency Response Extension Method of MET Vector Hydrophone Based on Dynamic Feedback Network

Linhang Zhang, Ruojin Li, Dapeng Yang, Huaizhu Zhang et al.
2 citations
Applied Sciences
Speech and Audio Processing
2.97
article

Frequency Response Extension Method of MET Vector Hydrophone Based on Dynamic Feedback Network

Linhang Zhang, Ruojin Li, Dapeng Yang, Huaizhu Zhang, Ang Li, Fang Bian, Zheng Fan, Hongyuan Yang
article en
2 citations

Abstract

Hydrophone is a key component of marine seismic exploration systems, divided into a scalar hydrophone and vector hydrophone. The electrochemical vector hydrophone has attracted much attention due to its high sensitivity and low-frequency detection capability. With the development of noise reduction technology, high-frequency noise has been effectively suppressed, while low-frequency noise is still difficult to control, which has become a key issue in the monitoring of underwater target radiation noise. The traditional electrochemical vector hydrophone based on the molecular electron transfer (MET) principle is limited in the working bandwidth in the low-frequency band, which affects the detection capability of low-frequency radiation signals from underwater targets. In order to solve this problem, a frequency response extension method of a MET electrochemical vector hydrophone based on dynamic feedback network is proposed. By introducing a dynamic force balance negative feedback system based on a digital signal processor (DSP), the working bandwidth of the hydrophone is extended, and the detection capability of low-frequency signals is enhanced. At the same time, the system has field adjustability and can resist the long-term system frequency characteristic drift. Experimental results show that the proposed method effectively improves the frequency response performance of the electrochemical vector hydrophone, providing a new technical solution for its application in the monitoring of low-frequency radiation noise from underwater targets.

Applied SciencesVol. 15(3)
Jilin University (CN), Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN), Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (CN)
Openalex Percentile: Top 12%
Speech and Audio Processing
2.97
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