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Exploiting SWARM sensor data for non-standard effects

Exploiting SWARM sensor data for non-standard effects. Jürgen Müller, Jakob Flury, Steffen Schön Institut für Erdmessung Leibniz Universität Hannover. Research ideas. 1) Analysis of SWARM accelerometer and star sensor data

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Exploiting SWARM sensor data for non-standard effects

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  1. Exploiting SWARM sensor data for non-standard effects Jürgen Müller, Jakob Flury, Steffen Schön Institut für Erdmessung Leibniz Universität Hannover

  2. Research ideas • 1) Analysis of SWARM accelerometer and star sensor data • interpretation/separation of thermic effects, sensor errors, atmospheric and geophysical signals • correlation of measurements wrt. spatial and temporal patterns • 2) Analysis of SWARM GPS data • signals in RUAG receivers • study of ionospheric effects applying turbulence theory • We could imagine to join projects with similar ideas. Partners are welcome.

  3. Characterizationofaccelerometersignals Example: GRACE Disturbances twangs, switching spikes, temperature effects (due to reduced thermal control capability in recent years), vibrations, radiation pressure SWARM case? Impact? gravity field, orbit and empirical parameters might be affected by mutual dependencies and correlation • J. Flury, J. Müller

  4. Satellite sensor analysis and gravity parameter estimation • Research question • How do accelerometer performance and acceleration disturbances affect gravity field solutions for GRACE and SWARM? • Proposed work • SWARM accelerometer characterization and comparison to GRACE to understand disturbance effects • physical modeling of disturbances • gravity parameter estimation experimentsto assess error propagation • Related/similar: star camera attitude data analysis and propagation of attitude errors in the gravity estimation process • Cooperation partners • U Lux, AIUB (for orbit and gravity estimation techniques) or others. • J. Flury, J. Müller

  5. GPS dataanalysisandionosphericfluctuationsapplyingturbulencetheory • b) Studyingionosphericscintillationsandfluctuationsbased on turbulencetheory • modelsforrefractivityindexfluctuationsbased on plasmafluctuations (power • laws, Matern kernel) • analysisofspatialand temporal correlationpatternsofthe GPS LEO data (randomfields) • high GPS dataqualityrequired(froma) a) Analysis ofthe GPS dataof RUAG receivers,similarities/differencesbetween A/B and C in termsofclockquality, temperaturevariations, multipath,… t2 t1 • S. Schön

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