| Autor: |
Wenxi NING, Yanhua WANG, Liming FAN, Xiaojun ZHANG, Zhizhen XIE |
| Jazyk: |
čínština |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
水下无人系统学报, Vol 31, Iss 4, Pp 568-574 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2096-3920 |
| DOI: |
10.11993/j.issn.2096-3920.2023-0069 |
| Popis: |
Magnetic anomaly signal contains rich feature information of targets, which is the basis for target localization and identification. However, the magnetic anomaly generated by the target rapidly attenuates with detection distance, making the weak magnetic anomaly signals of distant targets typically buried in magnetic noise. In view of extracting weak magnetic anomaly signals with a low signal-to-noise ratio, the method of weak magnetic anomaly signal extraction based on ensemble empirical mode decomposition(EEMD) and discrete wavelet transform(DWT) was proposed. Firstly, EEMD was used to decompose the weak magnetic anomaly signal into signal-domain magnetic signal and noise-domain magnetic signal. Then, the approximate coefficient of DWT was used to characterize the characteristics of the low-frequency signal and obtain the low-frequency noise-domain magnetic signal. Finally, the signal-domain magnetic signal was combined with the low-frequency noise-domain magnetic signal to obtain the weak magnetic anomaly signal. In order to validate the effectiveness of this method, simulation experiments and field experiments were carried out. The experimental results show that this method can effectively suppress background magnetic noise and extract weak magnetic anomaly signals of targets. This method can also offer effective data for the localization and identification of distant targets. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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