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| Titel |
Combining the Observations from Different GNSS |
| VerfasserIn |
Rolf Dach, Simon Lutz, Michael Meindl, Stefan Schaer, Peter Steigenberger, Gerhard Beutler |
| Konferenz |
EGU General Assembly 2010
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 12 (2010) |
| Datensatznummer |
250039530
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| Zusammenfassung |
| Since many years precise applications for Global Navigation Satellite Systems
(GNSS) have exclusively used the American Global Positioning System (GPS).
With the highly improved stability of the Russian counterpart GLONASS (Global
Navigation Satellite System) and the development of alternative systems in Europe
(Galileo) or China (Compass) we are confronted more and more with a multi-GNSS
situation.
The Center for Orbit Determination in Europe (CODE) acting as a global analysis center
of the International GNSS Service (IGS) has a long tradition in the combined analysis of the
data from different GNSS since all CODE contributions to the IGS are generated in fact from
a rigorously combined analysis of GPS and GLONASS data — apart from the clock
products.
When the procedure for deriving the multi–GNSS clocks has been developed the question
about the modeling of the inter–system bias in the receivers was reviewed. Traditionally, a
constant offset between the internal GPS and GLONASS receiver clocks is assumed in the
data processing. When analyzing the data in more detail a number of indicators have
been found that this might not be sufficient. However, is seems to be overshooting
to introduce fully independent receiver clock parameters for each GNSS — an
approach that dramatically reduces the benefit from the combined processing of
observations from different GNSS with respect to analyzing the measurements of only one
GNSS.
In particular real–time and near–real–time applications do typically highly benefit
from the bigger number of satellites in a multi–GNSS scenario. In this context
the results from our study on the behavior of the inter–system bias for different
receiver types is highly relevant — in particular as the results are derived from the
GLONASS extension of the CODE reprocessing to increase the basis of receiver
types. |
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