Three-Axis Magnetic Field Compensation for SERF Atomic Magnetometers Based on Dispersion Curve Characteristics

IF 4.3 2区综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Sensors Journal Pub Date : 2025-04-23 DOI:10.1109/JSEN.2025.3561746

Yifei Fu;Xiaojian Hao;Rui Jia;Wuliang Yin;Xinying Yu;Xie Feng;Dongjing Zhang

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引用次数: 0

Abstract

Spin-exchange relaxation-free (SERF) atomic magnetometers are widely recognized for their ultrahigh sensitivity in weak magnetic field measurements. However, traditional SERF magnetometers face critical limitations, where dynamic magnetic field disturbances severely degrade sensitivity. To address this challenge, we propose a three-axis magnetic compensation method based on real-time dispersion curve analysis and closed-loop control. By leveraging the symmetry characteristics of the dispersion curve, our approach identifies environmental magnetic field interference and dynamically adjusts compensation currents through a feedback mechanism. Furthermore, the integration of the Fibonacci sequence algorithm optimizes the search process for key dispersion curve nodes (e.g., extrema and zero-crossing points), significantly reducing computational complexity and accelerating compensation convergence. Experimental results demonstrate that the proposed method achieves a sensitivity of 90.1 fT/Hz

${}^{{1}/{2}}$

(improved by 64.9% compared to uncompensated systems) and suppresses magnetic noise by 87.75% in complex dynamic environments with proven long-term effectiveness. This work provides a reliable framework for high-precision SERF magnetic measurements in medical diagnostics.

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基于色散曲线特性的SERF原子磁强计三轴磁场补偿

自旋交换无弛豫（SERF）原子磁强计因其在弱磁场测量中的超高灵敏度而得到广泛认可。然而，传统的SERF磁强计面临着严重的局限性，其中动态磁场干扰严重降低了灵敏度。为了解决这个问题，我们提出了一种基于实时色散曲线分析和闭环控制的三轴磁补偿方法。利用色散曲线的对称特性，我们的方法识别环境磁场干扰，并通过反馈机制动态调整补偿电流。此外，Fibonacci序列算法的集成优化了弥散曲线关键节点（如极值点和过零点）的搜索过程，显著降低了计算复杂度，加速了补偿收敛。实验结果表明，该方法在复杂动态环境下的灵敏度为90.1 fT/Hz ${}^{{1}/{2}}$（比无补偿系统提高64.9%），对磁噪声的抑制率为87.75%，长期有效。这项工作为医学诊断中的高精度SERF磁测量提供了可靠的框架。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Sensors Journal 工程技术-工程：电子与电气

CiteScore

7.70

自引率

14.00%

发文量

2058

审稿时长

5.2 months

期刊介绍： The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice