Computer Science – Performance
Scientific paper
Dec 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011agufm.p44b..06p&link_type=abstract
American Geophysical Union, Fall Meeting 2011, abstract #P44B-06
Computer Science
Performance
[1221] Geodesy And Gravity / Lunar And Planetary Geodesy And Gravity, [1241] Geodesy And Gravity / Satellite Geodesy: Technical Issues
Scientific paper
An overall Gravity Recovery And Interior Laboratory (GRAIL) mission capability is presented based on a sensitivity analysis considering detailed spacecraft dynamics and kinematics models with realistic measurement uncertainties. Also shown is the effect of various perturbing forces, measurement models, and data arc lengths on overall estimation performance. The largest source of un-modeled error comes from the spacecraft thermal re-radiation force, and in order to characterize its error contribution, an a priori error constraint model is derived based on orbit geometry and expected force magnitude. The result shows that estimating a lunar gravity field is robust against both dynamics and kinematics errors and a nominal field of degree 300 or better can be determined according to the Kaula rule. The core signature, however, is more sensitive to modeling errors and satisfying the science requirement depends on how accurately the spacecraft dynamics can be modeled.
Asmar Sami W.
Fahnestock G. G.
Konopliv Alex S.
Kruizinga G. L.
Lu Wei
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