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地磁背景环境中基于分形特征的磁异常信号检测算法

陈路昭 朱万华 吴佩霖 费春娇 方广有

陈路昭, 朱万华, 吴佩霖, 费春娇, 方广有. 地磁背景环境中基于分形特征的磁异常信号检测算法[J]. 电子与信息学报, 2019, 41(2): 332-340. doi: 10.11999/JEIT180307
引用本文: 陈路昭, 朱万华, 吴佩霖, 费春娇, 方广有. 地磁背景环境中基于分形特征的磁异常信号检测算法[J]. 电子与信息学报, 2019, 41(2): 332-340. doi: 10.11999/JEIT180307
Luzhao CHEN, Wanhua ZHU, Peilin WU, Chunjiao FEI, Guangyou FANG. Magnetic Anomaly Detection Algorithm Based on Fractal Features in Geomagnetic Background[J]. Journal of Electronics & Information Technology, 2019, 41(2): 332-340. doi: 10.11999/JEIT180307
Citation: Luzhao CHEN, Wanhua ZHU, Peilin WU, Chunjiao FEI, Guangyou FANG. Magnetic Anomaly Detection Algorithm Based on Fractal Features in Geomagnetic Background[J]. Journal of Electronics & Information Technology, 2019, 41(2): 332-340. doi: 10.11999/JEIT180307

地磁背景环境中基于分形特征的磁异常信号检测算法

doi: 10.11999/JEIT180307
基金项目: 国家重大科研装备研制项目(ZDYZ2012-1-03)
详细信息
    作者简介:

    陈路昭:男,1992年生,博士生,研究方向为传感器阵列的磁信号处理方法、运动平台磁干扰补偿技术

    朱万华:男,1982年生,副研究员,主要研究方向为磁场传感器关键技术、磁屏蔽关键技术

    吴佩霖:男,1988年生,博士生,研究方向为航空磁标量、磁梯度测量平台磁干扰补偿算法研究

    费春娇:女,1989年生,博士生,研究方向为海洋环境磁场模型的建立以及噪声抑制方法

    方广有:男,1963年生,研究员,主要研究方向为超宽带电磁场理论及工程应用、超宽带雷达成像技术、微波成像新方法和新技术

    通讯作者:

    朱万华 whzhu@mail.ie.ac.cn

  • 中图分类号: TH762.3

Magnetic Anomaly Detection Algorithm Based on Fractal Features in Geomagnetic Background

Funds: The National R&D Projects for Key Scientific Instruments of China (ZDYZ2012-1-03)
  • 摘要:

    磁异常检测(MAD)是一种应用广泛的被动式目标检测方法,其应用包括水面舰船目标监测、水下移动目标及陆地目标的检测与识别等领域。基于地磁背景下弱磁异常信号的可靠性检测方法研究具有重要的意义,该文在研究地磁背景与磁异常信号分形特征差异的基础上,提出一种基于目标磁异常信号分形特征的单传感器检测方法,并进行实际外场试验验证。试验结果表明:该方法能准确分辨出地磁背景干扰与磁异常信号,并可以在地磁背景噪声中实现弱磁异常信号的检测。

  • 图  1  仿真场景与目标磁异常

    图  2  检测算法流程图

    图  3  EMD处理前后的地磁背景场

    图  4  地磁背景场及其功率谱密度

    图  5  磁场分量、盒维数及其分形检测特征量

    图  6  磁场分量及其分形检测特征量

    图  7  磁场分量及其分形检测特征量

    图  8  不同信噪比下的检测门限

    图  9  磁场传感器与野外实验场景

    图  10  背景地磁数据及其分形特征量

    图  11  含磁异常的背景地磁数据及其分形特征量

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出版历程
  • 收稿日期:  2018-04-02
  • 修回日期:  2018-09-05
  • 网络出版日期:  2018-09-12
  • 刊出日期:  2019-02-01

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