Detection of vehicle tracks by a three-axis magnetometer

  • Q. Zhang
  • , X. Li
  • , H. L. Pan
  • , J. T. Wang*
  • , Z. J. Zhao
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)83-90
Number of pages8
JournalSensors and Actuators A: Physical
Volume276
DOIs
StatePublished - 15 Jun 2018
Externally publishedYes

Keywords

  • GMI sensor
  • Magnetic anomaly detection
  • Magnetic dipole model
  • Vehicle track

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