Disturbances from Single Event Upsets in the GRACE Follow-On Laser Ranging 
Interferometer

Misfeldt, Malte Matthias; Bekal , Pallavi; Müller, Vitali; Heinzel, Gerhard

doi:10.1016/j.asr.2023.06.038

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Disturbances from Single Event Upsets in the GRACE Follow-On Laser Ranging Interferometer

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Misfeldt, Malte Matthias
Laser Interferometry & Gravitational Wave Astronomy, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society;

Bekal , Pallavi
Laser Interferometry & Gravitational Wave Astronomy, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society;

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Müller, Vitali
Laser Interferometry & Gravitational Wave Astronomy, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society;

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Heinzel, Gerhard
Laser Interferometry & Gravitational Wave Astronomy, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society;

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Citation

Misfeldt, M. M., Bekal, P., Müller, V., & Heinzel, G. (2023). Disturbances from Single Event Upsets in the GRACE Follow-On Laser Ranging Interferometer. Advances in Space Research, 72(6), 2259-2269. doi:10.1016/j.asr.2023.06.038.

Cite as: https://hdl.handle.net/21.11116/0000-000D-6687-8

Abstract

The Gravity Recovery And Climate Experiment - Follow On (GRACE-FO) satellite
mission (2018-now) hosts the novel Laser Ranging Interferometer (LRI), a
technology demonstrator for proving the feasibility of laser interferometry for
inter-satellite ranging measurements. The GRACE-FO mission extends the valuable
climate data record of changing mass distribution in the system Earth, which
was started by the original GRACE mission (2002-2017). The mass distribution
can be deduced from observing changes in the distance of two low-earth orbiters
employing interferometry of electromagnetic waves in the K-Band for the
conventional K-Band Ranging (KBR) and in near-infrared for the novel LRI. This
paper identifies possible radiation-induced Single Event Upset (SEU) events in
the LRI phase measurement. We simulate the phase data processing within the
Laser Ranging Processor (LRP) and use a template-based fitting approach to
determine the parameters of the SEU and subtract the events from the ranging
data. Over four years of LRI data, 29 of such events were identified and
characterized.