一种近海水域磁异常信号检测方法

杜德锋; 陈帅; 王磊; 孟凡凯

doi:10.11993/j.issn.2096-3920.202203008

一种近海水域磁异常信号检测方法

doi: 10.11993/j.issn.2096-3920.202203008

1.
中国人民解放军91388部队 , 广东湛江, 524002
2.
中国船舶集团有限公司第七一〇研究所, 湖北宜昌, 443003
3.
海军工程大学动力工程学院, 湖北武汉, 430033

基金项目: 国家自然科学基金(11974429).

详细信息

作者简介:
杜德锋(1983-), 男, 博士, 工程师, 主要研究方向为磁信号检测

中图分类号: TJ67; U674.941; O441.4
计量
- 文章访问数: 241
- HTML全文浏览量: 29
- PDF下载量: 68
- 被引次数: 0
出版历程
- 收稿日期: 2022-03-10
- 修回日期: 2022-04-30
- 录用日期: 2022-09-19
- 网络出版日期: 2022-12-06

A Detection Method of Magnetic Anomaly Signal in Offshore Waters

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

摘要

摘要: 磁异常信号检测在近海防御领域应用前景广阔, 实现远距离、长时间监测是目前亟待解决的问题。文中提出一种水下磁异常探测模型, 引入小波域分析与正交基分解检测的方法, 通过对磁异常信号特征与小波分解频率分析, 提出一种自适应层数确定方法, 再进行去噪正交基分解能量检测的自主处理流程。针对小波域去噪问题, 在不同分解尺度下, 提出独立使用不同收缩系数对细节系数进行处理, 提高对高频噪声抑制效果。研究结果表明相对于传统小波去噪, 文中方法信噪比提升约27%, 误识别率降低39%。
- 水域磁目标 /
- 磁异常探测 /
- 小波去噪 /
- 正交基检测
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

HTML全文

图 1 水下磁异常探测模型

Figure 1. Underwater magnetic anomaly detection model

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图 2 改进的小波阈值计算函数

Figure 2. Improved wavelet threshold calculation function

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图 3 磁异常信号检测流程

Figure 3. Flow chart of magnetic anomaly signal detection

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图 4 含噪声信号与目标信号

Figure 4. Noise signal and target signal

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图 5 去噪效果对比

Figure 5. Comparison of denoising effect

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图 6 OBF检测效果对比

Figure 6. Comparison of OBF detection effect

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图 7 信噪比对比

Figure 7. Comparison of SNR

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图 8 均方根误差对比

Figure 8. Comparison of RMSE

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图 9 实测原始信号

Figure 9. Measured original signal

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图 10 实测信号去噪效果对比

Figure 10. Comparison of denoising effect of measured signal

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图 11 实测信号OBF检测结果

Figure 11. OBF detection results of measured signals

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表 1 信噪比与均方误差对比

Table 1. Comparison of signal to noise ratio and mean square Eerror

评价指标 S_n R_RMSE

原始信号 −11.350 1.120
低通滤波 6.945 0.136
软阈值 13.214 0.066
文中方法 16.834 0.043

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表 2 MS3A-02A-W传感器主要参数性能

Table 2. Main parameters of MS3A-02A-W

属性范围

测量范围 −100~100 μT
峰峰值噪声 <0.2 nT
功率谱噪声 10~20 pT/Hz^1/2@1 Hz
频率响应 0~1 kHz(±5%)
功耗 <0.4 W

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表 3 阈值检测FAR对比

Table 3. Comparison of false alarm rate

OBF检测方法 N_AR N_ALL F

低通滤波 601 4500 13.4
小波软阈值 230 4500 5.1
文中方法 141 4500 3.1

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