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Innovative Aeromagnetic Compensation Techniques for In-Cabin Magnetometers Amidst Complex OBE Interference

  • Lin Ge
  • , Qi Han*
  • , Zhi Qiao
  • , Zhaohai Meng
  • *Corresponding author for this work
  • School of Computer Science and Technology, Harbin Institute of Technology
  • Tianjin Navigation Instrument Research Institute
  • CAS - Institute of Geology and Geophysics

Research output: Contribution to journalArticlepeer-review

Abstract

Recent advances in drone-based aeromagnetic survey technology face limitations due to existing interference models, and calibration methods cannot adequately compensate for the complex additional magnetic interference on in-cabin magnetometers generated by the on-board electronic (OBE) systems, which require the magnetometer to be mounted on a stinger or wing far from the cabin, restricting drone design and size. To solve this, we propose a compensation method for in-cabin magnetometers. Specifically, in the preprocessing stage, we propose a recursive empirical wavelet transform reconstruction (REWT-R) algorithm for more precise current denoising. Then, an iterative partial correlation screening (IPCS) algorithm is introduced to screen current data for model calibration, avoiding multicollinearity issues. Finally, we eliminate the inaccurate bandpass filtering operation in the calibration stage and improve the loss function with a decomposed weighting scheme, enhancing its global optimization and generalization capabilities. Experiments on public datasets validated the effectiveness of the proposed method at each stage. Meanwhile, compared to the latest methods, our proposed in-cabin magnetic interference compensation method reduces the root-mean-squared error (RMSE) by 15 times.

Original languageEnglish
Pages (from-to)32801-32812
Number of pages12
JournalIEEE Sensors Journal
Volume24
Issue number20
DOIs
StatePublished - 2024
Externally publishedYes

Keywords

  • Aeromagnetic compensation
  • empirical wavelet transform (EWT)
  • on-board electronic (OBE) systems
  • partial correlation analysis

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