A Detection Method of Magnetic Anomaly Signal in Offshore Waters

DU Defeng; CHEN Shuai; WANG Lei; MENG Fankai

doi:10.11993/j.issn.2096-3920.202203008

Volume 31 Issue 2

Apr 2023

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Article Navigation > Journal of Unmanned Undersea Systems > 2023 > 31(2): 269-277

DU Defeng, CHEN Shuai, WANG Lei, MENG Fankai. A Detection Method of Magnetic Anomaly Signal in Offshore Waters[J]. Journal of Unmanned Undersea Systems, 2023, 31(2): 269-277. doi: 10.11993/j.issn.2096-3920.202203008

Citation:

DU Defeng, CHEN Shuai, WANG Lei, MENG Fankai. A Detection Method of Magnetic Anomaly Signal in Offshore Waters[J]. Journal of Unmanned Undersea Systems, 2023, 31(2): 269-277. doi: 10.11993/j.issn.2096-3920.202203008

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A Detection Method of Magnetic Anomaly Signal in Offshore Waters

doi: 10.11993/j.issn.2096-3920.202203008

1.
91388^th Unit, The People’s Libration Army of China, Zhanjiang 524002, China
2.
The 710 Research Institute, China State Shipbuilding Corporation Limited, Yichang 443003, China
3.
Power Engineering College, Naval University of Engineering, Wuhan 430033, China

Received Date: 2022-03-10
Accepted Date: 2022-09-19
Rev Recd Date: 2022-04-30

Available Online: 2022-12-06

Abstract

Abstract

Magnetic anomaly signal detection has broad application prospects in offshore defense, which is an urgent problem for realizing remote and long-term monitoring. In this paper, an underwater magnetic anomaly detection model is proposed, and wavelet domain analysis and orthogonal basis decomposition detection methods are introduced. Through the analysis of magnetic anomaly signal characteristics and wavelet decomposition frequency, adaptive layer determination method is proposed, and independent processing flow of denoising orthogonal basis decomposition energy detection was performed. To address the problem of wavelet domain denoising under different decomposition scales, different shrinkage coefficients are used to independently deal with detail coefficients to improve the effect of high-frequency noise suppression. The results show that compared with the traditional wavelet denoising, the signal-to-noise ratio of this method is improved by approximately 27%, and the false recognition rate is reduced by 39%.
- water magnetic target,
- magnetic anomaly detection,
- wavelet denoising,
- orthogonal basis detection

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References(13)

References

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