Design of an Underwater Real-Time Integrated Electromagnetic Detection System

CHEN Jialin; XU Hao; YUAN Yibo; LIU Lanjun; LIAN Bochao

doi:10.11993/j.issn.2096-3920.2023-0068

Volume 31 Issue 4

Aug 2023

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Article Navigation > Journal of Unmanned Undersea Systems > 2023 > 31(4): 600-606

CHEN Jialin, XU Hao, YUAN Yibo, LIU Lanjun, LIAN Bochao. Design of an Underwater Real-Time Integrated Electromagnetic Detection System[J]. Journal of Unmanned Undersea Systems, 2023, 31(4): 600-606. doi: 10.11993/j.issn.2096-3920.2023-0068

Citation:

CHEN Jialin, XU Hao, YUAN Yibo, LIU Lanjun, LIAN Bochao. Design of an Underwater Real-Time Integrated Electromagnetic Detection System[J]. Journal of Unmanned Undersea Systems, 2023, 31(4): 600-606. doi: 10.11993/j.issn.2096-3920.2023-0068

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Design of an Underwater Real-Time Integrated Electromagnetic Detection System

doi: 10.11993/j.issn.2096-3920.2023-0068

Engineering College, Ocean University of China, Qingdao 266061, China

Received Date: 2023-05-30
Accepted Date: 2023-07-12
Rev Recd Date: 2023-07-10

Available Online: 2023-07-25

Abstract

Abstract

To address the issues of single physical quantity detection, poor real-time performance, and weak comprehensive adaptability in current underwater target electromagnetic detection systems, an underwater real-time integrated electromagnetic detection system was developed by using the technology of ultra-low noise signal detection and amplification, automatic gain control, etc. The system achieved high-precision electromagnetic signal acquisition, storage, and network real-time trans- mission within a wide dynamic range. Laboratory tests have validated the system’s ability to acquire high-precision electromagnetic field signals and transmit them in real time. The background noise of the electric field channel is 2 nV/$\sqrt {{\text{Hz}}} $@1 Hz, and that of the magnetic field channel is 0.12 μV/$\sqrt {{\text{Hz}}} $@1 Hz, while the network real-time transmission rate is 6.32 MB/s.
- underwater target detection,
- electromagnetic detection,
- ultra-low noise signal detection,
- real-time integrated observation

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References(11)

References

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