What question did this study set out to answer?

The aim is to develop a multi-sensor data cleaning technique to remove artificial disturbances from spacecraft magnetic field measurements.

February 2, 2026Open Access

Disturbance-aligned-frame gradiometer technique for removal of spacecraft-generated disturbances from the BepiColombo magnetic field data

Key Points

The aim is to develop a multi-sensor data cleaning technique to remove artificial disturbances from spacecraft magnetic field measurements.
Propose a multi-sensor data cleaning technique.
Test the method on data from the BepiColombo spacecraft.
Identify five disturbance sources affecting the magnetic field data.
Apply the method over a 7-hour interval to eliminate disturbances.
Successfully remove gravitational influence of five identified disturbances.
Disturbances traceable to solar panels of the Mercury Transfer Module.
Demonstrated effectiveness of the new data cleaning method.

Abstract

Abstract Magnetic field measurements delivered by spacecraft are often contaminated by artificial magnetic fields generated by other instruments or spacecraft subsystems. In this work we propose an advanced multi-sensor data cleaning method able to remove 3 (N-1) 3 (N - 1) independent disturbances from N sensors data. The BepiColombo composite spacecraft is a good test-bed to illustrate the application of the proposed method. We identify five disturbance sources in the magnetic field data measured by the Mercury Planetary Orbiter magnetometer during the cruise phase, and apply the novel method to a 7 h interval to remove the disturbances. We show that all five disturbances are most probably produced by the solar panels of the Mercury Transfer Module. Graphical abstract

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