Detection of vehicle tracks by a three-axis magnetometer

被引：8
|
作者：
Zhang, Q. [1 ]
Li, X. [2 ]
Pan, H. L. [1 ,2 ]
Wang, J. T. [1 ]
Zhao, Z. J. [2 ]
机构：
[1] East China Normal Univ, Sch Comp Sci & Software Engn, Natl Trusted Embedded Software Engn Technol Res C, MOE Engn Res Ctr Software Hardware Codesign Techn, Shanghai 200062, Peoples R China
[2] East China Normal Univ, Sch Phys & Mat Sci, Minist Educ, Nanophoton & Adv Instrument Engn Res Ctr, Shanghai 200062, Peoples R China
来源：
SENSORS AND ACTUATORS A-PHYSICAL | 2018年 / 276卷
基金：
中国国家自然科学基金;
关键词：
Vehicle track; Magnetic anomaly detection; GMI sensor; Magnetic dipole model; SENSOR; METHODOLOGY; OBJECTS;
D O I：
10.1016/j.sna.2018.03.016
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A novel approach for target tracking enabled by a magnetic anomaly detection (MAD) system with a single three-axis magnetic sensor is demonstrated. Twelve types of three-dimensional target MAD signals at a cross road were calculated using a magnetic dipole model. Characteristic features derived from Bxy curves were used to identify the type of tracks. A nonlinear non-diagonal three-axis giant magnetoimpedance sensor (GMI) was used to validate the model, which operated in range of +/- 500 mGs with a noise level below RMS 200 pT at the frequency ranging from 0.1 to10 Hz. Experimental results showed that the identification by the model was in good agreement with real tracks. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码：83 / 90
页数：8
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