Javascript must be enabled to continue!
Correcting geocenter motion in GNSS solutions by combining with satellite laser ranging data
View through CrossRef
Abstract
Geocenter motion in GNSS solutions is ill-defined because of the GNSS orbit modeling errors. Especially, the Z geocenter component derived from GNSS data is mostly affected, as that includes strong draconitic signals. In GNSS processing, we lack direct access to Earth’s actual center of mass, even though orbital dynamics fundamentally depend on it. Instead, satellites are computed to orbit around a theoretical point that has no geophysical interpretation, called the apparent center of mass. We derive a method of enhancing GNSS processing by incorporating the correct geocenter motion information by combining GNSS microwave-based observations with Satellite Laser Ranging (SLR) observations to Galileo and GLONASS, as well as SLR observations to two LAGEOS satellites. We found that SLR observations to GNSS cannot improve the geocenter variations alone because GNSS solutions are still affected by spurious draconitic signals. Oppositely, SLR observations to LAGEOS almost eliminate the draconitic signal in the Z geocenter component and guarantee that the geocenter motion is properly handled in the GNSS processing. To achieve this, adding range observations to LAGEOS is sufficient, even without considering SLR observations to GNSS satellites, thus, even without the proper SLR-GNSS co-location in space onboard GNSS satellites. We also found that different handling of range biases in SLR data to GNSS may change the mean geocenter offset, however, it does not have any impact on the geocenter temporal variations and reduction of the draconite signals.
Springer Science and Business Media LLC
Title: Correcting geocenter motion in GNSS solutions by combining with satellite laser ranging data
Description:
Abstract
Geocenter motion in GNSS solutions is ill-defined because of the GNSS orbit modeling errors.
Especially, the Z geocenter component derived from GNSS data is mostly affected, as that includes strong draconitic signals.
In GNSS processing, we lack direct access to Earth’s actual center of mass, even though orbital dynamics fundamentally depend on it.
Instead, satellites are computed to orbit around a theoretical point that has no geophysical interpretation, called the apparent center of mass.
We derive a method of enhancing GNSS processing by incorporating the correct geocenter motion information by combining GNSS microwave-based observations with Satellite Laser Ranging (SLR) observations to Galileo and GLONASS, as well as SLR observations to two LAGEOS satellites.
We found that SLR observations to GNSS cannot improve the geocenter variations alone because GNSS solutions are still affected by spurious draconitic signals.
Oppositely, SLR observations to LAGEOS almost eliminate the draconitic signal in the Z geocenter component and guarantee that the geocenter motion is properly handled in the GNSS processing.
To achieve this, adding range observations to LAGEOS is sufficient, even without considering SLR observations to GNSS satellites, thus, even without the proper SLR-GNSS co-location in space onboard GNSS satellites.
We also found that different handling of range biases in SLR data to GNSS may change the mean geocenter offset, however, it does not have any impact on the geocenter temporal variations and reduction of the draconite signals.
Related Results
GNSS reflectometry for land remote sensing applications
GNSS reflectometry for land remote sensing applications
Soil moisture and vegetation biomass are two essential parameters from a scienti c and economical point of view. On one hand, they are key for the understanding of the hydrological...
GNSS-based orbit and geodetic parameter estimation by means of simulated GENESIS data
GNSS-based orbit and geodetic parameter estimation by means of simulated GENESIS data
The ESA GENESIS mission, which obtained green light at ESA's Council Meeting at Ministerial Level in November 2022 and which is expected to be launched in 2027, aims to significant...
Evaluation of the Repeatability and Accuracy of RTK GNSS under Tree Canopy
Evaluation of the Repeatability and Accuracy of RTK GNSS under Tree Canopy
Using the Real Time Kinematic (RTK) GNSS (Global Navigation Satellite Systems) Method, one may precisely estimate a location on Earth in “real-time” to within a few centimeters. Ho...
GNSS/Acoustic positioning of acoustic beacons on the seafloor using an autonomous surface vehicle. Example from the FOCUS experiment offshore Sicily (Italy)
GNSS/Acoustic positioning of acoustic beacons on the seafloor using an autonomous surface vehicle. Example from the FOCUS experiment offshore Sicily (Italy)
<p>The FOCUS project funded by the European Research Council aims at monitoring deformation across an active submarine fault with an optical fiber using laser reflect...
Real-time GPS vs full-GNSS time series accuracies estimations at RING INGV research infrastructure
Real-time GPS vs full-GNSS time series accuracies estimations at RING INGV research infrastructure
The RING (Rete Integrata Nazionale GNSS) is a research infrastructure developed for accurately measuring deformations at different spatial and temporal scales in the Eurasia-Africa...
Routine Measurement of Water Vapour Using GNSS in the Framework of the Map-Io Project
Routine Measurement of Water Vapour Using GNSS in the Framework of the Map-Io Project
The “Marion Dufresne Atmospheric Program-Indian Ocean” (MAP-IO) project is a research program that aims to collect long-term atmospheric observations in the under-instrumented Indi...
Global Navigation Satellite System Spoofing Detection in Inertial Satellite Navigation Systems
Global Navigation Satellite System Spoofing Detection in Inertial Satellite Navigation Systems
The susceptibility of global navigation satellite systems (GNSSs) to interference significantly limits the possibility of their use. From the standpoint of possible consequences, t...
Multi-GNSS Slant Wet Delay Retrieval Using Multipath Mitigation Maps
Multi-GNSS Slant Wet Delay Retrieval Using Multipath Mitigation Maps
<p>The conventional Global Navigation Satellite System (GNSS) processing is typically contaminated with errors due to atmospheric variabilities, such as those associa...


