Details
| Original language | English |
|---|---|
| Pages (from-to) | 304-316 |
| Number of pages | 13 |
| Journal | Advances in space research |
| Volume | 62 |
| Issue number | 2 |
| Early online date | 3 May 2018 |
| Publication status | Published - 15 Jul 2018 |
Abstract
We investigate the post-fit range-rate residuals after the gravity field parameter estimation from the inter-satellite ranging data of the Gravity Recovery and Climate Experiment (GRACE) satellite mission. Of particular interest is the high-frequency spectrum (f> 20 mHz) which is dominated by the microwave ranging system noise. Such analysis is carried out to understand the yet unsolved discrepancy between the predicted baseline errors and the observed ones. The analysis consists of two parts. First, we present the effects in the signal-to-noise ratio (SNRs) of the K-band ranging system. The SNRs are also affected by the Moon intrusions into the star cameras’ field of view and magnetic torquer rod currents in addition to the effects presented by Harvey et al. (2016). Second, we analyze the range-rate residuals to study the effects of the KBR system noise. The range-rate residuals are dominated by the non-stationary errors in the high-frequency observations. These high-frequency errors in the range-rate residuals are found to be dependent on the temperature and effects of Sun intrusion into the star cameras’ field of view reflected in the SNRs of the K-band phase observations.
Keywords
- KBR system noise, Non-stationary error analysis, Range-rate residuals, SNR analysis
ASJC Scopus subject areas
- Engineering(all)
- Aerospace Engineering
- Physics and Astronomy(all)
- Astronomy and Astrophysics
- Earth and Planetary Sciences(all)
- Geophysics
- Earth and Planetary Sciences(all)
- Atmospheric Science
- Earth and Planetary Sciences(all)
- Space and Planetary Science
- Earth and Planetary Sciences(all)
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In: Advances in space research, Vol. 62, No. 2, 15.07.2018, p. 304-316.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Analysis of GRACE range-rate residuals with focus on KBR instrument system noise
AU - Goswami, Sujata
AU - Devaraju, Balaji
AU - Weigelt, Matthias
AU - Mayer-Gürr, Torsten
N1 - Funding Information: We acknowledge support from the German Research Foundation DFG within SFB 1128 geo-Q to fund this research. We acknowledge Prof. Jakob Flury for the resources and the opportunity he provided us to work on this research topic. We acknowledge the discussions with Gerhard L.Kruizinga, Tamara Bandikova regarding an insight into the sensors data and the ongoing work in this direction.
PY - 2018/7/15
Y1 - 2018/7/15
N2 - We investigate the post-fit range-rate residuals after the gravity field parameter estimation from the inter-satellite ranging data of the Gravity Recovery and Climate Experiment (GRACE) satellite mission. Of particular interest is the high-frequency spectrum (f> 20 mHz) which is dominated by the microwave ranging system noise. Such analysis is carried out to understand the yet unsolved discrepancy between the predicted baseline errors and the observed ones. The analysis consists of two parts. First, we present the effects in the signal-to-noise ratio (SNRs) of the K-band ranging system. The SNRs are also affected by the Moon intrusions into the star cameras’ field of view and magnetic torquer rod currents in addition to the effects presented by Harvey et al. (2016). Second, we analyze the range-rate residuals to study the effects of the KBR system noise. The range-rate residuals are dominated by the non-stationary errors in the high-frequency observations. These high-frequency errors in the range-rate residuals are found to be dependent on the temperature and effects of Sun intrusion into the star cameras’ field of view reflected in the SNRs of the K-band phase observations.
AB - We investigate the post-fit range-rate residuals after the gravity field parameter estimation from the inter-satellite ranging data of the Gravity Recovery and Climate Experiment (GRACE) satellite mission. Of particular interest is the high-frequency spectrum (f> 20 mHz) which is dominated by the microwave ranging system noise. Such analysis is carried out to understand the yet unsolved discrepancy between the predicted baseline errors and the observed ones. The analysis consists of two parts. First, we present the effects in the signal-to-noise ratio (SNRs) of the K-band ranging system. The SNRs are also affected by the Moon intrusions into the star cameras’ field of view and magnetic torquer rod currents in addition to the effects presented by Harvey et al. (2016). Second, we analyze the range-rate residuals to study the effects of the KBR system noise. The range-rate residuals are dominated by the non-stationary errors in the high-frequency observations. These high-frequency errors in the range-rate residuals are found to be dependent on the temperature and effects of Sun intrusion into the star cameras’ field of view reflected in the SNRs of the K-band phase observations.
KW - KBR system noise
KW - Non-stationary error analysis
KW - Range-rate residuals
KW - SNR analysis
UR - http://www.scopus.com/inward/record.url?scp=85047056566&partnerID=8YFLogxK
U2 - 10.48550/arXiv.1707.03724
DO - 10.48550/arXiv.1707.03724
M3 - Article
AN - SCOPUS:85047056566
VL - 62
SP - 304
EP - 316
JO - Advances in space research
JF - Advances in space research
SN - 0273-1177
IS - 2
ER -