Research Article
Ingegneria Sismica
Volume 42 · Issue 3 · 2023

Extraction of Magnetic Gradient Signals from Moving Targets Using High-Tc SQUID Gradiometers

Authors: Yixi Zhou1 , Zhidan Zhang1 , Xiangyan Kong1
1 Institute of Integrated Circuits, Ningbo University, Ningbo, 315211, China
+ Show More
Published: 20 May 2026
+ Cite
Yixi Zhou, Zhidan Zhang, Xiangyan Kong. “Extraction of Magnetic Gradient Signals from Moving Targets Using High-Tc SQUID Gradiometers.” Ingegneria Sismica Volume 42 Issue 3: 1-13, DOI: https://doi.org/10.65102/is20271036

Abstract

To address the rapid attenuation of signal amplitude and the difficulty in recovering effective responses under low signal-to-noise ratio (SNR) conditions in long-range detection of moving magnetic targets using high-temperature SQUID planar gradiometers, this study investigates the influence of the relative distance between the target and the sensor on the extractability of magnetic gradient signals. For moving magnetic targets, the Closest Point of Approach (CPA) serves as a key geometric parameter characterizing the minimum distance between the target and the sensor.First, the spatial distribution characteristics of magnetic gradient fields generated by large-scale magnetic targets are analyzed using a COMSOL based finite element model. The results show that as the CPA increases, the lateral coverage of the magnetic gradient disturbance on the observation plane expands, while its peak amplitude decreases significantly. Subsequently, under the condition that the observation distance satisfies the magnetic dipole approximation, a moving magnetic dipole model is established to theoretically analyze the time-domain responses at different CPA. The analysis indicates that, at large CPA, the magnetic gradient signals persist in the form of weak amplitudes with broadened temporal structures. To extract such weak structured signals from noisy measurements, an Orthogonal Basis Functions (OBF) based signal extraction method under a representation normalized with respect to the CPA is introduced. By constructing a structural subspace that matches the response characteristics of the moving magnetic dipole, the proposed method enables structured recovery of magnetic gradient signals under low SNR conditions. Experimental results demonstrate that the proposed method can effectively recover the target response waveform for a magnetic target with a moment of 2.5 A·m² at a maximum distance of approximately 2 m, where the signal approaches the sensitivity limit of the gradiometer, even when the initial SNR is as low as −7 dB. significantly improving signal detectability under weak-signal conditions.The results provide methodological support for the application of high-temperature SQUID planar gradiometers in long-range magnetic anomaly detection.

Keywords

High Tc Squid,Magnetic Anomaly detection,Closetest point of appraoch

Spatial and Temporal Characteristics of Magnetic Gradient Fields

2.1 Spatial Distribution of Magnetic Gradient Fields Under Different CPA 

To investigate the detection capability of high-temperature SQUID planar gradiometers for
moving magnetic targets under long-range and large-area conditions, it is first necessary to
analyze the variation characteristics of the target magnetic gradient field at different observation
distances from the perspective of spatial distribution, taking into account the relative position
between the sensor and the target  [1] .Considering that targets in practical applications are
often of large size, a large vessel is taken as a representative example and modeled as a triaxial ellipsoid magnetized by the geomagnetic field[14].Based on this equivalent model, the static
magnetic gradient field distribution is calculated using the finite element method. This model
ensures physical consistency while effectively capturing the overall spatial structure of the
magnetic anomaly gradient field under long-range conditions.
With the increase of CPA, the lateral coverage range of magnetic gradient disturbance
expands continuously, while the peak amplitude decreases significantly. This indicates that the
signal presents the characteristics of large range and low amplitude under long-distance
conditions.
                                         

 

Figure 1: Spatial distribution of magnetic gradient field and effective signal coverage under
different CPA conditions

References

[1] H. Yin, X. Wen, S. S. Yang, et al., “Research on identification method of moving magnetic targets based on magnetic anomaly detection,” Chinese Journal of Scientific Instrument, vol. 39, no. 3, pp. 258–264, 2018.