Frequency-dependent gradient error suppression method for optically pumped magnetic gradiometers

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement Pub Date : 2025-06-09 DOI:10.1016/j.measurement.2025.118138

Shudong Lin , Ziqi Yuan , Yujian Ma , Yueyang Zhai , Junjian Tang

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Abstract

In the presence of significant common-mode noise, gradient measurement based on optically pumped magnetometers (OPMs) serves as an effective method for enhancing the signal-to-noise ratio. However, the unresolved frequency-dependent differential measurement errors will degrade the performance of gradient measurement. This work establishes a quantitative model analyzing full-band gradient differential errors based on phase-frequency response. A convenient method derived from this model enhances common-mode rejection ratio (CMRR) across the low-frequency band, which is particularly important for biomagnetic applications. By precisely controlling the magnetic fields experienced by the gradiometer, the feature point of phase intersection can be discovered, and thus the average CMRR of 1–50 Hz band is improved by more than an order of magnitude, exceeding 2000. Meanwhile, the average gradient sensitivity is also improved by 33 %. Our work provides insights for solving practical problems in OPM-based biomagnetic measurement systems.

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光泵磁梯度计的频率梯度误差抑制方法

在存在明显共模噪声的情况下，基于光泵浦磁强计的梯度测量是提高信噪比的有效方法。然而，无法解决的频率相关差分测量误差会降低梯度测量的性能。本文建立了基于相频响应的全波段梯度差分误差定量分析模型。从该模型推导出一种方便的方法来提高低频共模抑制比（CMRR），这对生物磁学应用尤为重要。通过对梯度仪所经历的磁场进行精确控制，可以发现相位相交的特征点，从而使1 ~ 50 Hz波段的平均CMRR提高一个数量级以上，达到2000以上。同时，平均梯度灵敏度也提高了33%。我们的工作为解决基于opm的生物磁测量系统的实际问题提供了见解。

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来源期刊

Measurement 工程技术-工程：综合

CiteScore

10.20

自引率

12.50%

发文量

1589

审稿时长

12.1 months

期刊介绍： Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.