Page - 118 - in Contributions to GRACE Gravity Field Recovery - Improvements in Dynamic Orbit Integration, Stochastic Modelling of the Antenna Offset Correction, and Co-Estimation of Satellite Orientations
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with a “cleaner” covariance function. This not only improves the stochastic model for
the few arcs that do contain anomalous data, but for all remaining arcs of the month
as well.
It is important to note that modelling the errors in the antenna offset correction
correctly does not necessarily lead to a reduction of the overall residuals. What this new
model does allow for is the attribution of a certain fraction of the observed residuals
to one of the two noise sources: The stationary noise due to the ll-SST system, or the
non-stationary noise due to the AOC.
Chapter8 Star Camera Observations and
Uncertainties118
Contributions to GRACE Gravity Field Recovery
Improvements in Dynamic Orbit Integration, Stochastic Modelling of the Antenna Offset Correction, and Co-Estimation of Satellite Orientations
- Title
- Contributions to GRACE Gravity Field Recovery
- Subtitle
- Improvements in Dynamic Orbit Integration, Stochastic Modelling of the Antenna Offset Correction, and Co-Estimation of Satellite Orientations
- Author
- Matthias Ellmerr
- Publisher
- Verlag der Technischen Universität Graz
- Location
- Graz
- Date
- 2018
- Language
- English
- License
- CC BY 4.0
- ISBN
- 978-3-85125-646-8
- Size
- 21.0 x 29.7 cm
- Pages
- 185
- Keywords
- Geodäsie, Gravitation, Geodesy, Physics, Physik
- Categories
- Naturwissenschaften Physik
- Technik