Compensation Method for Diurnal Variation in Three-Component Magnetic Survey
Source abstract
Abstract
Considering that diurnal variation interferes with three-component magnetic surveys, which inevitably affects survey accuracy, exploring an interference compensation method of high-precision is particularly desirable. In this paper, a compensation method for diurnal variation is proposed, the procedure of which involves calibrating the magnetometer error and the misalignment error between magnetometer and non-magnetic theodolite. Meanwhile, the theodolite is used to adjust the attitude of the magnetometer to unify the observed diurnal variation into the geographic coordinate system. Thereafter, the feasibility and validity of the proposed method were verified by field experiments. The experimental results show that the average error of each component between the observed value of the proposed method and that of Changchun Geomagnetic station is less than 1.2 nT, which indicates that the proposed method achieves high observation accuracy. The proposed method can make up for the deficiency that traditional methods cannot meet the requirements of high accuracy diurnal variation compensation. With this method, it is possible for us to set up temporary diurnal variation observation station in areas with complex topography and harsh environment to assist aeromagnetic three-component survey.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Inertial Sensor and Navigation · Geophysics and Gravity Measurements · Geophysical and Geoelectrical Methods
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, China
Key Laboratory of Geophysical Exploration Equipment (Jilin University), Ministry of Education, Changchun 130061, China
References (16)
Show source-provided references
1. Magnetic anomaly detection using a three-axis magnetometer10.1109/TMAG.2008.2006635 ↗
2. Characterization of the in situ magnetic architecture of oceanic crust (Hess Deep) using near-source vector magnetic data10.1002/2015JB012783 ↗
3. Inversion of borehole magnetic data for prospecting deep-buried minerals in areas with near-surface magnetic distortions: A case study from the Daye iron-ore deposit in Hubei, central China10.3997/1873-0604.2017013 ↗
4. Scalar vector, tensor magnetic anomalies: Measurement or computation?10.1111/j.1365-2478.2011.01007.x ↗
5. Magnetic mapping for the detection and characterization of UXO: Use of multi-sensor fluxgate 3-axis magnetometers and methods of interpretation10.1016/j.jappgeo.2006.06.004 ↗
6. Analysis on systematic errors of aeromagnetic compensation caused by measurement uncertainties of three-axis magnetometers
7. Magnetic interference compensation method for geomagnetic field vector measurement10.1016/j.measurement.2016.05.081 ↗
8. Aeromagnetic compensation using neural networks10.1007/BF01414949 ↗
9. Autonomous mapping of underwater magnetic fields using a surface vehicle10.1109/ACCESS.2018.2872672 ↗
10. Complete calibration of three-axis strapdown magnetometer in mounting frame10.1109/JSEN.2017.2766200 ↗
11. Long, D., Zhang, X., Wei, X., Luo, Z., and Cao, J. (2018). A fast calibration and compensation method for magnetometers in strap-down spinning projectiles. Sensors, 12.10.3390/s18124157 ↗
12. Calibration of strapdown magnetometers in magnetic field domain
13. More applications of Euler rotation angles10.1109/74.789738 ↗
14. Hutcheson, G.D. (2011). Ordinary least-squares regression. The Multivariate Social Scientist, SAGE Publications Ltd.10.4135/9781446251119.n67 ↗
15. Map Coordinate Referencing and the use of GPS datasets in Ghana
16. Multiple Ant Colony Optimization Based on Pearson Correlation Coefficient10.1109/ACCESS.2019.2915673 ↗