Motenbruck, Oliver; Andres, Yago; Bock, Heike; Hellepute, Tom; van Ijssel, Jose; Loiselet, Marc; Marquerdt, Christian; Silvestrin, Pierluigi; Visser, Pieter; Yoon, Yoke (2007). Tracking and Navigation Performance of the GRAS Instrument on MetOp-A. GPS solutions, 12(4), pp. 289-299. Berlin: Springer 10.1007/s10291-008-0091-2
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The global navigation satellite system receiver for atmospheric sounding (GRAS) on MetOp-A is the first European GPS receiver providing dual-frequency navigation and occultation measurements from a spaceborne platform on a routine basis. The receiver is based on ESA’s AGGA-2 correlator chip, which implements a high-quality tracking scheme for semi-codeless P(Y) code tracking on the L1 and L2 frequency. Data collected with the zenith antenna on MetOp-A have been used to perform an in-flight characterization of the GRAS instrument with focus on the tracking and navigation performance. Besides an assessment of the receiver noise and systematic measurement errors, the study addresses the precise orbit determination accuracy achievable with the GRAS receiver. A consistency on the 5 cm level is demonstrated for reduced dynamics orbit solutions computed independently by four different agencies and software packages. With purely kinematic solutions, 10 cm accuracy is obtained. As a part of the analysis, an empirical antenna offset correction and preliminary phase center correction map are derived, which notably reduce the carrier phase residuals and improve the consistency of kinematic orbit determination results.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
08 Faculty of Science > Institute of Astronomy |
UniBE Contributor: |
Bock, Heike |
ISSN: |
1080-5370 |
Publisher: |
Springer |
Language: |
English |
Submitter: |
Factscience Import |
Date Deposited: |
04 Oct 2013 14:59 |
Last Modified: |
05 Dec 2022 14:18 |
Publisher DOI: |
10.1007/s10291-008-0091-2 |
Web of Science ID: |
000258529900007 |
BORIS DOI: |
10.48350/25285 |
URI: |
https://boris.unibe.ch/id/eprint/25285 (FactScience: 57634) |