Extraction of Shaft-Rate Electromagnetic Field of Ships Based on Adaptive Fourier Decomposition

XU Zhenhuan; WU Yongfei; PEI Jianxin

doi:10.11993/j.issn.2096-3920.2023-0049

Volume 31 Issue 4

Aug 2023

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Article Navigation > Journal of Unmanned Undersea Systems > 2023 > 31(4): 593-599

XU Zhenhuan, WU Yongfei, PEI Jianxin. Extraction of Shaft-Rate Electromagnetic Field of Ships Based on Adaptive Fourier Decomposition[J]. Journal of Unmanned Undersea Systems, 2023, 31(4): 593-599. doi: 10.11993/j.issn.2096-3920.2023-0049

Citation:

XU Zhenhuan, WU Yongfei, PEI Jianxin. Extraction of Shaft-Rate Electromagnetic Field of Ships Based on Adaptive Fourier Decomposition[J]. Journal of Unmanned Undersea Systems, 2023, 31(4): 593-599. doi: 10.11993/j.issn.2096-3920.2023-0049

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Extraction of Shaft-Rate Electromagnetic Field of Ships Based on Adaptive Fourier Decomposition

doi: 10.11993/j.issn.2096-3920.2023-0049

1.
College of Computer Science and Technology(College of Data Science), Taiyuan University of Technology, Taiyuan 030024, China
2.
College of Marine Geosciences, Ocean University of China, Qingdao 266100, China
3.
Key Laboratory of Submarine Geosciences and Prospecting Techniques of Ministry of Education, Ocean University of China, Qingdao 266100, China

Received Date: 2023-05-15
Accepted Date: 2023-07-13
Rev Recd Date: 2023-06-16

Available Online: 2023-07-25

Abstract

Abstract

The shaft-rate electromagnetic field is a crucial feature of ships and undersea vehicles. However, due to the presence of static electromagnetic fields, the signal-to-noise ratio of the shaft-rate electromagnetic fields is greatly reduced. To effectively detect weak shaft-rate electromagnetic field signals under low signal-to-noise ratio conditions, this paper proposed a signal extraction method based on adaptive Fourier decomposition(AFD). It could adaptively decompose complex non-stationary signals from low frequency to high frequency into a series of single components with instantaneous frequency. Through simulation and measured data processing, the results show that this algorithm can overcome the shortcomings of methods such as short-time Fourier transform, wavelet transform, and empirical mode decomposition. It can quickly and effectively extract shaft-rate electromagnetic field signals, thereby providing a reference for positioning and tracking other ships and undersea vehicles.
- ship,
- shift-rate electromagnetic field,
- adaptive Fourier decomposition,
- signal extraction

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References(20)

References

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