Articles | Volume 9, issue 2
https://doi.org/10.5194/gi-9-451-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-9-451-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Dec 2020
Research article |
| 11 Dec 2020
| 11 Dec 2020
Maximum-variance gradiometer technique for removal of spacecraft-generated disturbances from magnetic field data
Ovidiu Dragoş Constantinescu
CORRESPONDING AUTHOR
Institute for Geophysics and Extraterrestrial Physics, TU Braunschweig, Germany
Space Plasma and Magnetometry Laboratory, Institute for Space Sciences, Bucharest, Romania
Hans-Ulrich Auster
Institute for Geophysics and Extraterrestrial Physics, TU Braunschweig, Germany
Magda Delva
Space Research Institute, Austrian Academy of Sciences, Graz, Austria
Olaf Hillenmaier
Magson GmbH, Berlin, Germany
Werner Magnes
Space Research Institute, Austrian Academy of Sciences, Graz, Austria
Ferdinand Plaschke
Space Research Institute, Austrian Academy of Sciences, Graz, Austria
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Cited
14 citations as recorded by crossref.
- Analysis of the KPLO magnetic cleanliness for the KMAG instrument H. Park et al. 10.1016/j.asr.2021.11.015
- MagneToRE: Mapping the 3-D Magnetic Structure of the Solar Wind Using a Large Constellation of Nanosatellites B. Maruca et al. 10.3389/fspas.2021.665885
- Statistical Decomposition and Machine Learning to Clean In Situ Spaceflight Magnetic Field Measurements M. Finley et al. 10.1029/2023GL103626
- Astro Pi sensor onboard the International Space Station as magnetic field surveyor A. Blagau et al. 10.1016/j.actaastro.2022.03.021
- Space plasma physics science opportunities for the lunar orbital platform - Gateway I. Dandouras et al. 10.3389/fspas.2023.1120302
- Separation of Spacecraft Noise From Geomagnetic Field Observations Through Density‐Based Cluster Analysis and Compressive Sensing A. Hoffmann & M. Moldwin 10.1029/2022JA030757
- Remanence Model Estimation Method of Geomagnetic Navigation Carrier Based on Recursive Least Square Method M. ZHU et al. 10.11728/cjss2024.02.2023-0002
- Enabling Boomless CubeSat Magnetic Field Measurements With the Quad‐Mag Magnetometer and an Improved Underdetermined Blind Source Separation Algorithm A. Hoffmann et al. 10.1029/2023JA031662
- Wavelet-Adaptive Interference Cancellation for Underdetermined Platforms: Enhancing Boomless Magnetic Field Measurements on Compact Spacecraft A. Hoffmann & M. Moldwin 10.1109/TAES.2023.3315220
- Correction of Spacecraft Magnetic Field Noise: Initial Korean Pathfinder Lunar Orbiter MAGnetometer Observation in Solar Wind J. Lee et al. 10.3390/s23239428
- Magnetic Cleanliness Algorithm for Satellite CAS500-3 C. Choi et al. 10.52912/jsta.2023.3.3.229
- Space Weather Magnetometer Aboard GEO-KOMPSAT-2A W. Magnes et al. 10.1007/s11214-020-00742-2
- Science Objectives and Design of Ionospheric Monitoring Instrument Ionospheric Anomaly Monitoring by Magnetometer And Plasmaprobe (IAMMAP) for the CAS500-3 Satellite K. Ryu et al. 10.5140/JASS.2022.39.3.117
- Autonomous Reaction Wheel Magnetic Signature Detection Against Background Noise in Spacecraft A. Sen Gupta & D. Miles 10.1109/LSENS.2023.3308124
10 citations as recorded by crossref.
- Analysis of the KPLO magnetic cleanliness for the KMAG instrument H. Park et al. 10.1016/j.asr.2021.11.015
- MagneToRE: Mapping the 3-D Magnetic Structure of the Solar Wind Using a Large Constellation of Nanosatellites B. Maruca et al. 10.3389/fspas.2021.665885
- Statistical Decomposition and Machine Learning to Clean In Situ Spaceflight Magnetic Field Measurements M. Finley et al. 10.1029/2023GL103626
- Astro Pi sensor onboard the International Space Station as magnetic field surveyor A. Blagau et al. 10.1016/j.actaastro.2022.03.021
- Space plasma physics science opportunities for the lunar orbital platform - Gateway I. Dandouras et al. 10.3389/fspas.2023.1120302
- Separation of Spacecraft Noise From Geomagnetic Field Observations Through Density‐Based Cluster Analysis and Compressive Sensing A. Hoffmann & M. Moldwin 10.1029/2022JA030757
- Remanence Model Estimation Method of Geomagnetic Navigation Carrier Based on Recursive Least Square Method M. ZHU et al. 10.11728/cjss2024.02.2023-0002
- Enabling Boomless CubeSat Magnetic Field Measurements With the Quad‐Mag Magnetometer and an Improved Underdetermined Blind Source Separation Algorithm A. Hoffmann et al. 10.1029/2023JA031662
- Wavelet-Adaptive Interference Cancellation for Underdetermined Platforms: Enhancing Boomless Magnetic Field Measurements on Compact Spacecraft A. Hoffmann & M. Moldwin 10.1109/TAES.2023.3315220
- Correction of Spacecraft Magnetic Field Noise: Initial Korean Pathfinder Lunar Orbiter MAGnetometer Observation in Solar Wind J. Lee et al. 10.3390/s23239428
4 citations as recorded by crossref.
- Magnetic Cleanliness Algorithm for Satellite CAS500-3 C. Choi et al. 10.52912/jsta.2023.3.3.229
- Space Weather Magnetometer Aboard GEO-KOMPSAT-2A W. Magnes et al. 10.1007/s11214-020-00742-2
- Science Objectives and Design of Ionospheric Monitoring Instrument Ionospheric Anomaly Monitoring by Magnetometer And Plasmaprobe (IAMMAP) for the CAS500-3 Satellite K. Ryu et al. 10.5140/JASS.2022.39.3.117
- Autonomous Reaction Wheel Magnetic Signature Detection Against Background Noise in Spacecraft A. Sen Gupta & D. Miles 10.1109/LSENS.2023.3308124
Latest update: 29 Jun 2024
Short summary
We propose a gradiometer-based technique for cleaning multi-sensor magnetic field data acquired on board spacecraft. The technique takes advantage on the fact that the maximum-variance direction of many AC disturbances on board spacecraft does not change over time. We apply the proposed technique to the SOSMAG instrument on board GeoKompsat-2A. We analyse the performance and limitations of the technique and discuss in detail how various disturbances are removed.
We propose a gradiometer-based technique for cleaning multi-sensor magnetic field data acquired...
