Influence of Attitude Changes on Magnetic Measurement Accuracy in UAV Magnetic Anomaly Detection

This paper explores the effect of attitude change on the accuracy of magnetic measurement of UAV magnetic measurement technology in ferromagnetic target detection, and develops a high-precision magnetic field detection device based on fluxgate sensors, which integrates data acquisition, control, display and power supply systems, and is capable of effectively acquiring and processing magnetic measurement data. By constructing a linear model of attitude angle and magnetic measurement value, and solving the coefficient matrix and offset vector using the least squares method, this paper provides a theoretical basis for attitude correction. The control variable method is used to design experiments to collect static and dynamic flight data to clarify the effects of pitch angle, roll angle and yaw angle on the magnetic measurement value. Future research can explore the application of nonlinear models and intelligent algorithms in attitude correction to further improve the accuracy and reliability of UAV magnetic anomaly detection technology.

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Published
2025-03-21
DOI
https://doi.org/10.1109/icsi64877.2025.11009300
Primary Topic
Earthquake Detection and Analysis
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article
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article

Influence of Attitude Changes on Magnetic Measurement Accuracy in UAV Magnetic Anomaly Detection

Xinyue Hu
Earthquake Detection and Analysis
article

Influence of Attitude Changes on Magnetic Measurement Accuracy in UAV Magnetic Anomaly Detection

Xinyue Hu
article en

Abstract

This paper explores the effect of attitude change on the accuracy of magnetic measurement of UAV magnetic measurement technology in ferromagnetic target detection, and develops a high-precision magnetic field detection device based on fluxgate sensors, which integrates data acquisition, control, display and power supply systems, and is capable of effectively acquiring and processing magnetic measurement data. By constructing a linear model of attitude angle and magnetic measurement value, and solving the coefficient matrix and offset vector using the least squares method, this paper provides a theoretical basis for attitude correction. The control variable method is used to design experiments to collect static and dynamic flight data to clarify the effects of pitch angle, roll angle and yaw angle on the magnetic measurement value. Future research can explore the application of nonlinear models and intelligent algorithms in attitude correction to further improve the accuracy and reliability of UAV magnetic anomaly detection technology.

Jilin University (CN)
Affordable and clean energy
Openalex Percentile: Top 86%
Earthquake Detection and Analysis
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Influence of Attitude Changes on Magnetic Measurement Accuracy in UAV Magnetic Anomaly Detection — Xinyue Hu · (2025) | TGRS Research Map | TGRS