A modified magnetic gradient contraction based method for ferromagnetic target localization

Chen Wang*, Xiaojuan Zhang, Xiaodong Qu, Xiao Pan, Guangyou Fang, Luzhao Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

35 Citations (Scopus)

Abstract

The Scalar Triangulation and Ranging (STAR) method, which is based upon the unique properties of magnetic gradient contraction, is a high real-time ferromagnetic target localization method. Only one measurement point is required in the STAR method and it is not sensitive to changes in sensing platform orientation. However, the localization accuracy of the method is limited by the asphericity errors and the inaccurate value of position leads to larger errors in the estimation of magnetic moment. To improve the localization accuracy, a modified STAR method is proposed. In the proposed method, the asphericity errors of the traditional STAR method are compensated with an iterative algorithm. The proposed method has a fast convergence rate which meets the requirement of high real-time localization. Simulations and field experiments have been done to evaluate the performance of the proposed method. The results indicate that target parameters estimated by the modified STAR method are more accurate than the traditional STAR method.

Original languageEnglish
Article number2168
JournalSensors
Volume16
Issue number12
DOIs
Publication statusPublished - 17 Dec 2016
Externally publishedYes

Keywords

  • Ferromagnetic target localization
  • Iterative algorithm
  • Magnetic dipole
  • Magnetic gradient tensor

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