磁记忆梯度张量测量信号预处理方法

发布时间：2018-01-10 01:17

本文关键词：磁记忆梯度张量测量信号预处理方法　出处：《系统工程与电子技术》2017年03期 　论文类型：期刊论文

【摘要】：为降低磁记忆测量信号中各种噪声干扰,提高磁记忆信号梯度张量解算精度,提出形态滤波和经验模态分解组合的方法消除噪声。首先,根据矢量合成原理将磁分量信号转换成总场幅值和方向信号,保证降噪处理过程中不改变各磁分量之间的内在关系;然后,利用形态滤波器对幅值和方向信号进行处理,消除信号中的瞬时强脉冲噪声;最后,将信号进行经验模态分解降噪,消除低频和局部干扰噪声。将上述方法用于磁记忆实测信号处理,结果表明,提出的方法能有效消除磁分量信号不同类型干扰噪声,解算得到高精度的磁记忆梯度张量数据。
[Abstract]:In order to reduce all kinds of noise interference in the magnetic memory signal and improve the accuracy of the magnetic memory signal gradient Zhang Liang, a combination of morphological filtering and empirical mode decomposition is proposed to eliminate the noise. According to the principle of vector synthesis, the magnetic component signal is converted into the total field amplitude and direction signal to ensure that the intrinsic relationship between the magnetic components is not changed in the process of noise reduction. Then, the amplitude and direction signal are processed by morphological filter to eliminate the instantaneous strong impulse noise in the signal. Finally, the signal is decomposed by empirical mode decomposition to eliminate the low frequency and local interference noise. The proposed method can effectively eliminate different types of interference noise of magnetic component signal and obtain high precision magnetic memory gradient Zhang Liang data.
【作者单位】：军械工程学院无人机工程系;
【基金】：河北省自然科学基金(E2015506004)资助课题
【分类号】：TN911.7
【正文快照】： 0引言重力场和磁场信号分析在军事、环境、资源勘探等方面有着广泛应用[1-2]。相比于磁场和重力的总场、总场分量及梯度信号,梯度张量信号具有受总场影响小、包含更多的矢量场变化信息等优点,近年来,逐渐成为重力和磁场信号分析的研究热点[3-4]。磁记忆检测属于一种磁检测方法

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