1887
Volume 49, Issue 5
  • ISSN: 0812-3985
  • E-ISSN: 1834-7533

Abstract

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An airborne fluxgate magnetic tensor gradiometer is built on fluxgates to measure directional derivatives of the magnetic field. It has been used to carry out many geophysical exploration programs quickly and efficiently. However, two key issues greatly reduce the data quality of a tensor gradiometer. One is that the fluxgate magnetic tensor gradiometer suffers various errors, such as scale drift, non-orthogonality, misalignment, zero offset, dynamic, and nonlinear errors of individual fluxgates, along with differences between characteristics of fluxgates. The other is that manoeuvring an aircraft flying in the geomagnetic field can generate magnetic interference effects on a tensor gradiometer. Regarding the common airborne fluxgate magnetic tensor gradiometer that has a cross-shaped structure, we have proposed the magnetic interference model of the aircraft and the error model of a single fluxgate. Then we have seamlessly combined these two models into the unified calibration model of a tensor gradiometer by a recursive method. Finally, we have simultaneously determined the correction coefficients and the magnetic properties of the aircraft by a calibration flight at high altitude in an area of low magnetic gradient. We have evaluated the performance of the proposed method through simulation and actual flight results using a microlight aircraft. The root-mean-square noise of each component has reached the level of less than 1.5 nT/m, and the improvement ratios are from 4096 to 17444 in terms of the measured field data of tensor components. The proposed method reduces the reliance of the installation on the aircraft and can easily be applied to other tensor gradiometers, such as airborne superconducting magnetic tensor gradiometers.

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In this paper, the correction coefficients of a fluxgate magnetic tensor gradiometer and the magnetic properties of an aircraft are determined. A recursive method is used to combine the magnetic interference model and the error model into a unified calibration model. The method is significant as there will be a greater use of airborne magnetic tensor gradiometers using a wide range of aircraft.

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/content/journals/10.1071/EG16124
2018-10-01
2026-01-17
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References

  1. Argast, D., FitzGerald, D., Holstein, H., Stolz, R., and Chwala, A., 2010, Compensation of the full magnetic tensor gradient signal: ASEG 2010, 21st ASEG Geophysical Conference, 1–4.
  2. Bracken, R. E., and Brown, P. J., 2005, Reducing tensor magnetic gradiometer data for unexploded ordnance detection: U.S. Geological Survey Scientific Investigations Report, 2005–5046, 1–5.
  3. Chwala, A., Stolz, R., Zakosarenko, V., Fritzsch, L., Schulz, M., Rompel, A., Meyer, H., and Meyer, H. G., 2012, Full tensor SQUID gradiometer for airborne exploration: 22nd ASEG International Geophysical Conference and Exhibition, Extended Abstracts, 1–4.
  4. Gebre-Egziabher D. Elkaim G. H. Powell J. D. Parkinson B. W. 2006 Calibration of strapdown magnetometers in magnetic field domain:Journal of Aerospace Engineering1987102 10.1061/(ASCE)0893‑1321(2006)19:2(87)
    https://doi.org/10.1061/(ASCE)0893-1321(2006)19:2(87) [Google Scholar]
  5. Griffin, D. K., Masseglia, O., Hall, M., Trougnou, L., Hewitson, M., Howe, C., Poyntz-Wright, O., Leopoldi, M., Ding, L., Turner, S., and Harmon, S., 2012, Design and calibration of a compact low-noise magnetic gradiometer: Proceedings of the 2012 ESA Workshop on Aerospace EMC, IEEE, 1–6.
  6. Heath P. Heinson G. Greenhalgh S. 2003 Some comments on potential field tensor data:Exploration Geophysics345762 10.1071/EG03057
    https://doi.org/10.1071/EG03057 [Google Scholar]
  7. Koch R. H. Keefe G. A. Allen G. 1996 Room temperature three sensor magnetic field gradiometer:The Review of Scientific Instruments67230235 10.1063/1.1146576
    https://doi.org/10.1063/1.1146576 [Google Scholar]
  8. Leliak P. 1961 Identification and evaluation of magnetic-field sources of magnetic airborne detector equipped aircraft:IRE Transactions on Aerospace and Navigational ElectronicsANE-895105 10.1109/TANE3.1961.4201799
    https://doi.org/10.1109/TANE3.1961.4201799 [Google Scholar]
  9. Leslie, K., Blay, K., Clark, D., Schmidt, P., Tilbrook, D., Bick, M., Foley, C., and Binks, R., 2007, Helicopter trial of magnetic tensor gradiometer: 19th ASEG International Conference, Extended Abstracts, 1–4.
  10. Noriega G. 2015 Aeromagnetic compensation in gradiometry – performance, model stability, and robustness:IEEE Transactions on Geoscience and Remote Sensing12117121 10.1109/LGRS.2014.2328436
    https://doi.org/10.1109/LGRS.2014.2328436 [Google Scholar]
  11. Pang H. Pan M. Wan C. Chen J. Zhu X. Luo F. 2014 Integrated compensation of magnetometer array magnetic distortion field and improvement of magnetic object localization:IEEE Transactions on Geoscience and Remote Sensing5256705676 10.1109/TGRS.2013.2291839
    https://doi.org/10.1109/TGRS.2013.2291839 [Google Scholar]
  12. Pedersen L. B. Rasmussen T. M. 1990 The gradient tensor of potential field anomalies: some implications on data collection and data processing of maps:Geophysics5515581566 10.1190/1.1442807
    https://doi.org/10.1190/1.1442807 [Google Scholar]
  13. Schmidt P. W. Clark D. A. 2006 The magnetic gradient tensor: its properties and uses in source characterization:The Leading Edge257578 10.1190/1.2164759
    https://doi.org/10.1190/1.2164759 [Google Scholar]
  14. Schmidt P. Clark D. Leslie K. Bick M. Tilbrook D. Foley C. 2004 GETMAG – a SQUID magnetic tensor gradiometer for mineral and oil exploration:Exploration Geophysics35297305 10.1071/EG04297
    https://doi.org/10.1071/EG04297 [Google Scholar]
  15. Stolz R. Zakosarenko V. Schulz M. Chwala A. Fritzsch L. Meyer H. G. Kötlin E. O. 2006 Magnetic full-tensor SQUID gradiometer system for geophysical applications:The Leading Edge25178180 10.1190/1.2172308
    https://doi.org/10.1190/1.2172308 [Google Scholar]
  16. Sui Y. Li G. Wang S. Lin J. 2014 Compact fluxgate magnetic full-tensor gradiometer with spherical feedback coil:The Review of Scientific Instruments85014701 10.1063/1.4856675
    https://doi.org/10.1063/1.4856675 [Google Scholar]
  17. Sui, Y., Miao, H., Zhou, Z., Luan, H., Yu, S., and Lin, J., 2015, A case of fluxgate magnetic gradient tensor measurement system on microlight: International Workshop and Gravity, Electrical & Magnetic Methods and their Applications, 19–22 April 2015, Chenghu, China, 25–28.
  18. Sui Y. Miao H. Wang Y. Luan H. Lin J. 2016 Correction of a towed airborne fluxgate magnetic tensor gradiometer:IEEE Transactions on Geoscience and Remote Sensing1318371841 10.1109/LGRS.2016.2614538
    https://doi.org/10.1109/LGRS.2016.2614538 [Google Scholar]
  19. Wiegert, R., 2009, Magnetic STAR technology for real-time localization and classification of unexploded ordnance and buried mines: SPIE Proceedings Vol. 7303, 1–9.
  20. Wynn W. Frahm C. Carroll P. Clark R. Wellhoner J. Wynn M. 1975 Advanced superconducting gradiometer/magnetometer arrays and a novel signal processing technique:IEEE Transactions on Magnetics11701707 10.1109/TMAG.1975.1058672
    https://doi.org/10.1109/TMAG.1975.1058672 [Google Scholar]
  21. Yin G. Zhang Y. Fan H. Zhang G. Ren G. 2014 Linear calibration method of magnetic gradient tensor system:Measurement56818 10.1016/j.measurement.2014.06.017
    https://doi.org/10.1016/j.measurement.2014.06.017 [Google Scholar]
  22. Yin G. Zhang Y. Fan H. Ren G. Li Z. 2015 One-step calibration of magnetic gradient tensor system with nonlinear least square method:Sensors and Actuators A: Physical2297785 10.1016/j.sna.2015.03.026
    https://doi.org/10.1016/j.sna.2015.03.026 [Google Scholar]
  23. Yin G. Zhang Y. Fan H. Ren G. Li Z. 2015 a Integrated calibration of magnetic gradient tensor system:Journal of Magnetism and Magnetic Materials374289297 10.1016/j.jmmm.2014.08.022
    https://doi.org/10.1016/j.jmmm.2014.08.022 [Google Scholar]
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  • Article Type: Research Article
Keyword(s): airborne; compensation; correction; fluxgate; magnetic tensor gradiometer

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