海上目标磁场多模特征提取方法研究

董昊; 张宇; 覃维; 陈帅

doi:10.11993/j.issn.2096-3920.2025-0047

海上目标磁场多模特征提取方法研究

doi: 10.11993/j.issn.2096-3920.2025-0047

董昊^{1, 2,},
张宇^{1, 3,},
覃维^1,,
陈帅^{1, 3, ,}

1.
中国船舶集团有限公司第七一〇研究所, 湖北宜昌, 443000
2.
哈尔滨工程大学青岛创新发展基地, 山东青岛, 266300
3.
清江创新中心, 湖北武汉, 430076

基金项目: 国家重点研发计划项目资助(2022YFC3104002).

详细信息

通讯作者:
陈　帅(1997-), 男, 硕士, 工程师, 主要从事水下无人装备研究.

中图分类号: TJ610.2, U674.941
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- 文章访问数: 1
- HTML全文浏览量: 1
- PDF下载量: 0
- 被引次数: 0
出版历程
- 收稿日期: 2025-03-20
- 修回日期: 2025-06-10
- 录用日期: 2025-06-16
- 网络出版日期: 2025-09-26

Extraction Method for Multiple Feature Models of The Magnetic Field from Marine Targets

DONG Hao^{1, 2
,},
ZHANG Yu^{1, 3
,},
QIN Wei^1
,,
CHEN Shuai^{1, 3
, ,}

1.
The 710 Research Institute, China State Shipbuilding Corporation Limited, Yichang 443003, China
2.
Qingdao Innovation and Development Base, Harbin Engineering University, Qingdao 266300, China
3.
Qingjiang Innovation Center, Wuhan 430076, China

摘要

摘要: 海上目标会引起周围磁场畸变, 形成目标的磁场特征, 该特征广泛应用于目标探测、舰艇隐身战等方面。针对目标磁场多模特征提取问题, 依据磁信号产生机理, 建立相遇模式下磁异常信号模型, 分析同一目标不同源磁场的特征差异。提出一种基于磁特征的变分模态分解方法, 优化目标磁信号分解中的参数, 根据频率特征差异分离出静磁场、轴频磁场信号。采集海上实际干扰信号, 结合仿真目标信号对分解方法进行验证, 与传统算法相比, 所提方法能得到更高信噪比、更低误差的信号。最后, 对舰船磁场进行实际测量, 利用实测数据验证了所提分解方法对海上目标特征提取的有效性。
- 舰艇物理场 /
- 信号分解 /
- 特征提取 /
- 轴频磁场
Abstract: Maritime targets cause distortions in the surrounding magnetic field, forming the target's magnetic signature. This signature is widely used in target detection, ship stealth. Addressing the issue of multi-modal feature extraction for target magnetic fields, a magnetic anomaly signal model under an encounter scenario is established based on the magnetic signal generation mechanism. This model analyzes the characteristic differences between different source magnetic fields of the same target. A magnetic feature-based variational mode decomposition (VMD) method is proposed, which optimizes the parameters for decomposing the target's magnetic signal. Based on frequency characteristic differences, it separates the static magnetic field and the shaft-rate magnetic field signal. Actual marine interference signals are collected and combined with simulated target signals to validate the decomposition method. Compared with traditional algorithms, the proposed method achieves signals with a higher signal-to-noise ratio and lower error. Finally, the magnetic field of a ship was measured in practice. Using the measured data, the effectiveness of the proposed decomposition method for extracting maritime target features was validated.
- ship physics property /
- signal decomposition /
- feature extraction /
- shaft-rate magnetic field

HTML全文

图 1 海上目标静态磁场特征

Figure 1. Static magnetic field characteristics of marine targets

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图 2 不同CPA磁场信号功率谱对比

Figure 2. Comparison of power spectra of different CPA magnetic field signals

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图 3 舰船轴频磁场通过特性曲线

Figure 3. Characteristic curves of the ship pass through shaft-frequency magnetic field

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图 4 仿真海上目标磁场测量信号

Figure 4. Simulated magnetic field signal of marine target

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图 5 多模磁场信号分解效果

Figure 5. Decomposition of multimode magnetic field signals

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图 6 磁场特征分量信噪比、均方根误差对比

Figure 6. Comparison of SNR and RMSE between magnetic field characteristic components

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图 7 海上实测目标信号

Figure 7. Measured target signal in sea trial

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图 8 提取目标多模磁场特征

Figure 8. Multi-mode magnetic field characteristics of the target

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图 9 目标轴频信号频谱分析

Figure 9. Spectrum analysis of target axis frequency signal

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