| Autor: |
Zhenhuan XU, Yongfei WU, Jianxin PEI |
| Jazyk: |
čínština |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
水下无人系统学报, Vol 31, Iss 4, Pp 593-599 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2096-3920 |
| DOI: |
10.11993/j.issn.2096-3920.2023-0049 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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