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A Data-Driven OBE Magnetic Interference Compensation Method.

Yizhen Wang1, Qi Han1, Dechen Zhan1

  • 1Faculty of Computing, Harbin Institute of Technology, Harbin 150001, China.

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|October 27, 2022
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Summary
This summary is machine-generated.

This study introduces a novel data-driven method for onboard electronic (OBE) interference compensation in aeromagnetic surveys. The technique effectively reduces magnetic interference without reference sensors, improving data accuracy.

Keywords:
LSTM networkOBE interference compensationaeromagnetic survey

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Area of Science:

  • Geophysics
  • Signal Processing
  • Data Science

Background:

  • Aeromagnetic surveys are crucial for geological interpretation.
  • Onboard electronic (OBE) interference significantly impacts aeromagnetic data quality.
  • Existing compensation methods often require external reference sensors.

Purpose of the Study:

  • To develop a data-driven method for OBE interference compensation.
  • To eliminate the need for reference sensors in OBE interference reduction.
  • To enhance the accuracy and reliability of aeromagnetic data.

Main Methods:

  • A network-based approach combining wavelet decomposition and Long Short-Term Memory (LSTM) networks.
  • Integral detection and repair of OBE magnetic interference.
  • Estimation of local magnetic field variation to correct interference drift.

Main Results:

  • Achieved an F1 score over 0.79 for OBE interference detection.
  • Reduced the Root Mean Square Error (RMSE) of the compensated signal to below 0.009 nT.
  • Successfully detected all interference in real signals and significantly reduced magnetic field standard deviation.

Conclusions:

  • The proposed data-driven method effectively compensates for OBE interference without reference sensors.
  • This approach offers a significant advancement in aeromagnetic data processing.
  • The method demonstrates robust performance on both synthetic and real-world data.