Adaptive filtering method for magnetic anomaly detection

Adaptive filtering method for magnetic anomaly detection
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磁异常检测的自适应滤波方法

DOI:
10.1117/1.jrs.12.025003
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发表时间:
2018-04
影响因子:
1.7
通讯作者:
Guo Hong
Guo Hong
中科院分区:
工程技术4区
文献类型:
--
作者:
Zhao Guanyi;Han Qi;Tong Xiaojun;Guo Hong

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抽象的。磁异常检测 (MAD) 是一种用于搜索、定位甚至跟踪(如果目标正在移动)感兴趣的铁磁目标的技术。由于环境磁场的复杂性,几乎所有的检测方法都需要滤波器作为预处理过程。一种典型的方法是将测量信号通过包含目标信号频率的固定频带。然而,目标信号的频率主要由磁力计的运动速度和磁力计到目标的距离决定。也就是说,在不同的情况下,目标的频率是不同的。我们分析目标模型并用单个标量变量表示目标信号。通过将三维空间投影到二维平面,最终将目标信号变换为三个正弦波的叠加。在此基础上,我们提出了一种自适应估计频带的方法。此外,我们提出了一种基于小波变换的自适应滤波方法,并进行了仿真测试,证明该方法与传统滤波器相比具有更好的性能。
Abstract. Magnetic anomaly detection (MAD) is a technique applied in searching, localizing, and even tracking (if the target is moving) a ferromagnetic target of interest. Due to the complexity of the ambient magnetic field, almost all of the detection methods need a filter to be a preprocessing procedure. A typical way is passing the measured signal through a fixed frequency band that contains the frequency of the target signal. However, the target signal’s frequency is mostly determined by the movement velocity of the magnetometer and the distance from magnetometer to target. Namely, in different cases, the targets’ frequencies are different. We analyze the target model and represent the target signal with a single scalar variable. Through projecting the three-dimensional space into a two-dimensional plane, we lastly transform the target signal into a superposition of three sinusoids. Based on it, we propose a method to estimate the frequency band adaptively. Furthermore, we present an adaptive filtering method based on wavelet transform and take some simulation tests to prove that the proposed method has better performance compared with traditional filters.
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