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<p>Magnetic interference represents the primary constraint on data accuracy in aeromagnetic gradient measurements. Focusing on superconducting quantum interference devices (SQUIDs), this study develops a magnetic gradient data compensation method utilizing single-channel signals from SQUID aeromagnetic gradiometers. The approach initiates with calculating the Earth’s background reference magnetic field, its gradient field, and temporal variation rate within the flight platform’s coordinate system, enabling compensation correction for three-component magnetometer data. These compensated fields subsequently facilitate single-channel gradiometer data compensation; the processed gradient data then undergoes low-pass filtering and quality evaluation. This systematic compensation framework achieves a root mean square (RMS) of 16 pT/m with an improvement ratio (IR) of 2.3×10<sup>3</sup>, effectively mitigating system and environmental noise across measurement platforms while significantly enhancing compensation accuracy and reliability for SQUID aeromagnetic gradiometers.</p>

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Research on Compensation Processing Method for Single Acquisition Channel Signal of Full Tensor SQUID Aeromagnetic Gradiometer

  • 期刊论文

  • 发表日期：

    2025年9月2日

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  • Yan-chao Qiao,
  • Bao-gang Zhang,
  • Puncog Gesang,
  • Hua Guo,
  • Jing-xin Qin,
  • Jian-ying Liu

摘要

Magnetic interference represents the primary constraint on data accuracy in aeromagnetic gradient measurements. Focusing on superconducting quantum interference devices (SQUIDs), this study develops a magnetic gradient data compensation method utilizing single-channel signals from SQUID aeromagnetic gradiometers. The approach initiates with calculating the Earth’s background reference magnetic field, its gradient field, and temporal variation rate within the flight platform’s coordinate system, enabling compensation correction for three-component magnetometer data. These compensated fields subsequently facilitate single-channel gradiometer data compensation; the processed gradient data then undergoes low-pass filtering and quality evaluation. This systematic compensation framework achieves a root mean square (RMS) of 16 pT/m with an improvement ratio (IR) of 2.3×103, effectively mitigating system and environmental noise across measurement platforms while significantly enhancing compensation accuracy and reliability for SQUID aeromagnetic gradiometers.