基于磁异常检测的磁性运动目标识别方法研究  

Research on the moving ferromagnetic object recognition method based on magnetic anomaly detection

作　　者：银鸿 文轩[1] 杨生胜[1] 郑阔海[1] Yin Hong;Wen Xuan;Yang Shengsheng;Zheng Kuohai(Science and Technology on Vacuum Technology and Physics Laboratory, Lanzhou Institute of Physics, CAST, Lanzhou 730000, Chin)

机构地区：[1]兰州空间技术物理研究所真空技术与物理重点实验室

出　　处：《仪器仪表学报》2018年第3期258-264,共7页Chinese Journal of Scientific Instrument

基　　金：“十三五”全军共用信息系统装备预先研究课题(31512030101)项目资助

摘　　要：基于磁异常检测（MAD）的磁性运动目标识别在军事中极具应用价值。针对目标产生的磁异常信号存在探测距离有限和特征量不易表征的问题,采用高精度隧道磁电阻传感器（HPTMR）对目标的磁异常分量进行探测方法研究,通过特征量的提取实现目标速度、方向、距离等信息的表征,最终实现目标运动状态的识别。首先对磁性物体的磁异常特征展开分析,确定探测方案,然后利用搭建的探测系统对运动目标进行水平分量的探测,研究其运动速度、方向及距离的探测规律。结果表明,通过磁异常矢量分量波形能有效地获取目标的运动状态信息,为其后续的应用和研究提供支持。The accurate identification of moving magnetic target based on magnetic anomaly detection has important value in military applications.Aiming at the fact that in the magnetic anomaly signal generated by the target there exist the problems of limited detection range and difficult signal representation,this paper uses high precise tunnel magnetic resistance（HPTMR） sensor to study the detection method for the target magnetic anomaly component.Through the extraction of the feature quantity,the information of the moving target,such as speed,direction and distance is represented,and finally the recognition of the target moving state is realized.Firstly,the magnetic anomaly characteristics of the magnetic object are analyzed,and the detection scheme is determined; then the developed magnetic anomaly detection system is used to detect the horizontal component of the moving target magnetic anomaly characteristic and explore the detection rule of its moving speed,direction and distance.The results show that the moving state information of the target can be obtained effectively through the waveform of the magnetic anomaly vector component,which can provide reliable data support for the subsequent application and research.

关 键 词：磁异常检测 磁信号 水平分量 目标识别 

分 类 号：TP223[自动化与计算机技术—检测技术与自动化装置] TH89[自动化与计算机技术—控制科学与工程]