enhanced orbit modelling of eclipsing galileo satellites · computed and analyzed for this period:...

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Introduction The solar radiation pressure (SRP) is the largest non-conservative force that impacts the GNSS satellites. Because of the dependency on area-to- mass ratio, Galileo satellites are notably sensitive to such forces due to their low weight. In particular, orbit modelling complications arise at low angles of the Sun direction w.r.t. the satellite orbital plane (β). During these periods not only different faces of the satellites are periodically illuminated, but also their cross-sectional area w.r.t. the Sun direction reaches its extreme values. In addition to the SRP, thermal radiation (TR) is a non-negligible effect in particular for Galileo satellites. In contrast to SRP it acts also on the satellite during its crossing of the Earth's shadow. 4-6 Sep. 2019, Zurich, Switzerland D. Sidorov, R. Dach, L. Prange, A. Jäggi Astronomical Institute, University of Bern, Switzerland Enhanced orbit modelling of eclipsing Galileo satellites Poster compiled by D. Sidorov, September 2019 Astronomical Institute, University of Bern, Switzerland [email protected] 7-th International Colloquium on Scientific and Fundamental Aspects of GNSS Contact address Dmitry Sidorov Astronomical Institute, University of Bern Sidlerstrasse 5 3012 Bern (Switzerland) [email protected] Posters and other publications from the AIUB Satellite Geodesy Group: http://www.bernese.unibe.ch/publist Fig. 2: RMS of linear clock fit computed using ECOM and ECOM2. No stochastic pulses estimated. Orbit modelling problems are apparent during eclipse seasons. β-dependency is reduced using ECOM2. Fig. 3: SLR assessment of E12 orbits computed by four analysis centers (URL: http://mgex.igs.org). The scatter of SLR residuals is elevated during eclipse seasons and depends on the employed arc length. Fig. 1: 3d orbit misclosures of Galileo IOV (SVNs: 101-103) and FOC (SVNs: 201-222) satellites when ECOM2 is applied. Insufficient SRP and TR modelling of eclipsing Galileo satellites (marked with “e”) results in elevated orbit misclosures. Overall, 15 Galileo satellites are affected during days 130-200 of 2019. Braking Acceleration Noon turn Midnight turn Δu=0° Δu=90° Δu=180° Δu=270° Fig. 4: Galileo satellites (Galileo Satellite Metadata, URL: https://www.gsc-europa.eu). Radiators are installed on +X, +Y, -Y faces and +X, +Y, -Y and -Z faces of IOV and FOC satellites, respectively. IOV FOC Fig. 5: Visualization of a TR force impact from a +X radiator when β=0°. Fig. 6: TR-induced accelerations due to a +X radiator in the satellite along-track (left) and the satellite-Sun (right) directions. Profiles of the TR-induced accelerations at different β-angles are shown in green. Fig. 7: 3d orbit misclosures of Galileo IOV (SVNs: 101-103) and FOC (SVNs: 201-222) satellites when adjusted ECOM2 is applied (compare to Fig. 1). The misclosures of the eclipsing satellites are comparable to those of the non-eclipsing ones. Fig. 9: Histograms of SLR residuals of Galileo orbits computed using ECOM2 (red) and adjusted ECOM2 (green) over days 130-200 of 2019. Only eclipsing satellites have been considered. The use of the adjusted ECOM2 is marked by 13.5% improvement in standard deviation of the SLR residuals. Potential origins of the problem The detailed metadata package published by the European GNSS Agency, made the mass, dimensions, optical properties of the surfaces of Galileo satellites, antenna phase center variations and the attitude law (particularly crucial during eclipse seasons) publicly available. The Galileo spacecrafts carry thermal radiators that are installed on +X, +Y, -Y faces and +X, +Y, -Y and -Z faces (manufacturer-specific SC- frame, i.e., not IGS-defined SC-frame) of IOV and FOC satellites, respectively (Fig. 4). TR emitted from these radiators creates a non- negligible force along the satellite orbit. In particular, a radiator on +X face (where satellite clocks are installed) at β-angles close to 0° mostly creates a force that acts in the satellite along-track direction (Fig. 5). Such a force cannot be fully captured by empirical SRP parameters because they are switched off in eclipse. Simulations show that the force creates harmonic accelerations at low β-angles that diminish with the increase of β when projected in the along-track or in the satellite-Sun directions (Fig. 6). The magnitude of the force was empirically estimated. Results As a basis for the experiment, the CODE MGEX processing sequence was selected. Days 130-200 of year 2019 are of particular interest, as this period covers two eclipse seasons for Galileo, during which 15 satellites in total are affected. Two sets of MGEX solutions (orbits and clocks) were computed and analyzed for this period: using ECOM2 and adjusted ECOM2 for Galileo satellites. The computed orbit misclosures for Galileo satellites during the aforementioned period showed a remarkable improvement w.r.t. the ECOM2-computed solutions. Fig. 7 shows an outlook of orbit misclosures for Galileo satellites during the two eclipse seasons. The stochastic orbital parameters, being instantaneous velocity changes in radial, along-track and out-of-plane directions were also estimated for Galileo satellites in both POD runs with a sampling of 12 hours. These so called pulses are aimed to absorb accelerations that remain unaccounted by the selected orbit model. Fig. 8 shows stochastic pulses for 15 Galileo satellites during their eclipse seasons. The use of adjusted ECOM2 leads to a notable reduction of the magnitude of the pulses in both the radial and along-track directions. The SLR residuals of Galileo orbits computed using ECOM2 and the adjusted ECOM2 bring a closer look at mainly the radial component of the computed solutions. The histograms of the computed residuals, Fig. 9, suggest that the updated force model outperforms ECOM2 during eclipses. In particular, scattering of the residuals particularly at low β- angles is reduced by approx. 13.5%. High stability of the Galileo PHM clocks allows for an indirect assessment of the satellite orbit quality. For this reason we have also performed satellite and receiver clock estimation using the computed orbits. Then the stability of the estimated clocks of the eclipsing Galileo satellites was assessed based on the analysis of the RMS of linear clock fits during the aforementioned period. In agreement with the SLR residuals, the adjusted force modelling has also resulted in improvements of the Galileo satellite clock corrections. Fig. 10 shows RMS of linear clock fits for E01 over one eclipse season, indicating systematic improvements of the estimated satellite clock corrections due to the adjusted force modelling. The overview of the estimated RMS of linear clock fits for other eclipsed Galileo satellites is shown in Fig. 11. Overall, the estimated satellite clock stability was improved across all eclipsing Galileo satellites by approx. 11.6% on average, Tab. 1. Since GPS week 2054 day 3 (22 May 2019) the CODE MGEX products are computed using the adjusted ECOM2. Related modelling deficiencies of Galileo satellites may be visible in: l elevated orbit misclosures at day boundaries (Fig. 1), l degradations in satellite clock modelling, e.g., represented as linear clock fit (Fig. 2), l β-dependent variations in scattering of SLR residuals seen at various analysis centers to a different extent - the longer the employed orbital arc, the bigger the effect (Fig. 3). Proposed solution (modifications w.r.t. ECOM2) l Introduce a constant acceleration equivalent to 300W (approximate power of 2 PHM and 2 RAFS clocks) in the satellite +X direction. l Activate Y0 for FOC satellites also in eclipses to account for different radiator sizes on +Y and -Y faces. l Introduce D1S during eclipse seasons for Galileo satellites. Summary l The derived modifications to the existing ECOM2 are aimed to address thermal forces acting on Galileo satellites. l If left unaccounted, the thermal effects may significantly deteriorate the estimated orbits. l The proposed model changes significantly improve orbit modelling during eclipse seasons for Galileo satellites showing the high value of available spacecraft metadata. −10 −8 −6 −4 −2 0 2 4 6 8 10 Pulse [um/s] Stochastic pulses in the along−track direction −10 −8 −6 −4 −2 0 2 4 6 8 10 Pulse [um/s] Stochastic pulses in the along−track direction −10 −8 −6 −4 −2 0 2 4 6 8 10 Pulse [um/s] Stochastic pulses in the along−track direction E01 E02 E11 E12 E13 E15 E21 E24 E25 E26 E27 E30 E31 E33 E36 PRN −20 −16 −12 −8 −4 0 4 8 12 16 20 Pulse [um/s] Stochastic pulses in the radial direction −20 −16 −12 −8 −4 0 4 8 12 16 20 Pulse [um/s] Stochastic pulses in the radial direction −20 −16 −12 −8 −4 0 4 8 12 16 20 Pulse [um/s] Stochastic pulses in the radial direction E01 E02 E11 E12 E13 E15 E21 E24 E25 E26 E27 E30 E31 E33 E36 PRN 0 % 5 % 10 % 15 % 20 % 25 % % of estimates −15 −10 −5 0 5 10 15 Pulses [um/s] Radial Mean: 0.3 +/− 2.0 mm 0 % 5 % 10 % 15 % 20 % 25 % % of estimates −15 −10 −5 0 5 10 15 Pulses [um/s] Radial Mean: 1.7 +/− 3.9 mm 0 % 10 % 20 % 30 % 40 % % of estimates −10 −5 0 5 10 Pulses [um/s] Along−track Mean: 1.3 +/− 2.1 mm 0 % 10 % 20 % 30 % 40 % % of estimates −10 −5 0 5 10 Pulses [um/s] Along−track Mean: 0.1 +/− 0.8 mm 0 % 5 % 10 % 15 % 20 % 25 % % of measurements −200 −100 0 100 200 Residuals [mm] SLR residuals for GAL Mean: −3.7 +/− 42.9 mm 0 % 5 % 10 % 15 % 20 % 25 % % of measurements −200 −100 0 100 200 Residuals [mm] SLR residuals for GAL Mean: −4.5 +/− 37.1 mm e e e e e e e e e e e e e e e Fig. 8: Stochastic pulses of 15 eclipsing Galileo satellites during two consecutive eclipse seasons using ECOM2 (red) and adjusted ECOM2 (green) over days 130- 200 of 2019. 0.0 0.2 0.4 0.6 0.8 1.0 RMS [ns] RMS of linear clock fit 0.0 0.2 0.4 0.6 0.8 1.0 RMS [ns] RMS of linear clock fit 0.0 0.2 0.4 0.6 0.8 1.0 RMS [ns] RMS of linear clock fits E01 E02 E11 E12 E13 E15 E21 E24 E25 E26 E27 E30 E31 E33 E36 PRN ECOM2 ECOM2−D1 Fig. 11: RMS of linear clock fits of 15 eclipsing Galileo satellites during days 130-200 of 2019 using ECOM2 (red) and adjusted ECOM2 (green), only eclipse periods have been considered. Tab. 1: Mean RMS of linear clock fits of 14 eclipsing Galileo satellites (E12 excluded) during two subsequent eclipse seasons over days 130-200 of 2019. (Prange et al., 2016) Fig. 10: RMS of linear clock fits of E01 computed using ECOM2 (red) and adjusted ECOM2 (green). 0.0 0.1 0.2 0.3 0.4 0.5 RMS [ns] 140 150 160 170 180 190 Day of year 2019 RMS of linear clock fits of E01 −50 −40 −30 −20 −10 0 10 20 30 40 50 Beta [deg] ECOM2−D1 ECOM2 Beta eclipse season arc length = 72h arc length = 24h arc length = 30h arc length = 72h

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Page 1: Enhanced orbit modelling of eclipsing Galileo satellites · computed and analyzed for this period: using ECOM2 and adjusted ECOM2 for Galileo satellites. The computed orbit misclosures

Introduction

The solar radiation pressure (SRP) is the largest non-conservative force that impacts the GNSS satellites. Because of the dependency on area-to-mass ratio, Galileo satellites are notably sensitive to such forces due to their low weight. In particular, orbit modelling complications arise at low angles of the Sun direction w.r.t. the satellite orbital plane (β). During these periods not only different faces of the satellites are periodically illuminated, but also their cross-sectional area w.r.t. the Sun direction reaches its extreme values. In addition to the SRP, thermal radiation (TR) is a non-negligible effect in particular for Galileo satellites. In contrast to SRP it acts also on the satellite during its crossing of the Earth's shadow.

4-6 Sep. 2019, Zurich, Switzerland

D. Sidorov, R. Dach, L. Prange, A. Jäggi

Astronomical Institute, University of Bern, Switzerland

Enhanced orbit modellingof eclipsing Galileo satellites

Poster compiled by D. Sidorov, September 2019Astronomical Institute, University of Bern, [email protected]

7-th International Colloquiumon Scientific and FundamentalAspects of GNSS

Contact addressDmitry SidorovAstronomical Institute, University of BernSidlerstrasse 53012 Bern (Switzerland)[email protected]

Posters and other publications from theAIUB Satellite Geodesy Group:http://www.bernese.unibe.ch/publist

References

ECOM2 used for COM orbitECOM-TB used for COM orbit

Fig. 2: RMS of linear clock fit computed using ECOM and ECOM2. No stochastic pulses estimated. Orbit modelling problems are apparent during eclipse seasons. β-dependency is reduced using ECOM2.

Fig. 3: SLR assessment of E12 orbits computed by four analysis centers (URL: http://mgex.igs.org). The scatter of SLR residuals is elevated during eclipse seasons and depends on the employed arc length.

Fig. 1: 3d orbit misclosures of Galileo IOV (SVNs: 101-103) and FOC (SVNs: 201-222) satellites when ECOM2 is applied. Insufficient SRP and TR modelling of eclipsing Galileo satellites (marked with “e”) results in elevated orbit misclosures. Overall, 15 Galileo satellites are affected during days 130-200 of 2019.

Braking

Acceleration

Noonturn

Midnightturn

Δu=0°

Δu=90°

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Δu=270°

Fig. 4: Galileo satellites (Galileo Satellite Metadata, URL: https://www.gsc-europa.eu). Radiators are installed on +X, +Y, -Y faces and +X, +Y, -Y and -Z faces of IOV and FOC satellites, respectively.

IOV FOC

Fig. 5: Visualization of a TR force impact from a +X radiator when β=0°.

Fig. 6: TR-induced accelerations due to a +X radiator in the satellite along-track (left) and the satellite-Sun (right) directions. Profiles of the TR-induced accelerations at different β-angles are shown in green.

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Fig. 8: Orbit misclosures for E07 using ECOM2 and adjusted ECOM2.

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Fig. 9: RMS of linear clock fit for E07 using ECOM2 and adjusted ECOM2.

Fig. 7: 3d orbit misclosures of GalileoIOV (SVNs: 101-103) and FOC (SVNs: 201-222) satellites when adjusted ECOM2 is applied (compare to Fig. 1). The misclosures of the eclipsing satellites are comparable to those of the non-eclipsing ones.

Fig. 11: SLR residuals of Galileo orbits computed using ECOM2 (top) and adjusted ECOM2 (bottom) over days 70-101 of 2018.

Fig. 9: Histograms of SLR residuals of Galileo orbits computed using ECOM2 (red) and adjusted ECOM2 (green) over days 130-200 of 2019. Only eclipsing satellites have been considered. The use of the adjusted ECOM2 is marked by 13.5% improvement in standard deviation of the SLR residuals.

Fig. 14: SRP coefficients of the adjusted ECOM2 for E03 and E04 estimated over days 68-100 of 2018. The introduced modifications significantly reduce scattering of the coefficients during the entire eclipse phase. Note that the D1S term being relatively small has a similar shape for both satellites.

Fig. 13: SRP coefficients of ECOM2 for E03 and E04 estimated over days 68-100 of 2018. Note that D4 terms are constrained. The elevated scattering of the estimated coefficients is particularly observed when β is close to 0°. In turn, this suggests the presence of high correlations and an exchange among the coefficients in attempt to absorb the unaccounted forces.

Potential origins of the problem

The detailed metadata package published by the European GNSS Agency, made the mass, dimensions, optical properties of the surfaces of Galileo satellites, antenna phase center variations and the attitude law (particularly crucial during eclipse seasons) publicly available.The Galileo spacecrafts carry thermal radiators that are installed on +X, +Y, -Y faces and +X, +Y, -Y and -Z faces (manufacturer-specific SC-frame, i.e., not IGS-defined SC-frame) of IOV and FOC satellites, respectively (Fig. 4). TR emitted from these radiators creates a non-negligible force along the satellite orbit. In particular, a radiator on +X face (where satellite clocks are installed) at β-angles close to 0° mostly creates a force that acts in the satellite along-track direction (Fig. 5). Such a force cannot be fully captured by empirical SRP parameters because they are switched off in eclipse. Simulations show that the force creates harmonic accelerations at low β-angles that diminish with the increase of β when projected in the along-track or in the satellite-Sun directions (Fig. 6). The magnitude of the force was empirically estimated.

Results

As a basis for the experiment, the CODE MGEX processing sequence was selected. Days 130-200 of year 2019 are of particular interest, as this period covers two eclipse seasons for Galileo, during which 15 satellites in total are affected. Two sets of MGEX solutions (orbits and clocks) were computed and analyzed for this period: using ECOM2 and adjusted ECOM2 for Galileo satellites.The computed orbit misclosures for Galileo satellites during the aforementioned period showed a remarkable improvement w.r.t. the ECOM2-computed solutions. Fig. 7 shows an outlook of orbit misclosures for Galileo satellites during the two eclipse seasons.The stochastic orbital parameters, being instantaneous velocity changes in radial, along-track and out-of-plane directions were also estimated for Galileo satellites in both POD runs with a sampling of 12 hours. These so called pulses are aimed to absorb accelerations that remain unaccounted by the selected orbit model. Fig. 8 shows stochastic pulses for 15 Galileo satellites during their eclipse seasons. The use of adjusted ECOM2 leads to a notable reduction of the magnitude of the pulses in both the radial and along-track directions.The SLR residuals of Galileo orbits computed using ECOM2 and the adjusted ECOM2 bring a closer look at mainly the radial component of the computed solutions. The histograms of the computed residuals, Fig. 9, suggest that the updated force model outperforms ECOM2 during eclipses. In particular, scattering of the residuals particularly at low β-angles is reduced by approx. 13.5%.High stability of the Galileo PHM clocks allows for an indirect assessment of the satellite orbit quality. For this reason we have also performed satellite and receiver clock estimation using the computed orbits. Then the stability of the estimated clocks of the eclipsing Galileo satellites was assessed based on the analysis of the RMS of linear clock fits during the aforementioned period. In agreement with the SLR residuals, the adjusted force modelling has also resulted in improvements of the Galileo satellite clock corrections. Fig. 10 shows RMS of linear clock fits for E01 over one eclipse season, indicating systematic improvements of the estimated satellite clock corrections due to the adjusted force modelling. The overview of the estimated RMS of linear clock fits for other eclipsed Galileo satellites is shown in Fig. 11. Overall, the estimated satellite clock stability was improved across all eclipsing Galileo satellites by approx. 11.6% on average, Tab. 1.Since GPS week 2054 day 3 (22 May 2019) the CODE MGEX products are computed using the adjusted ECOM2.

asd

Due to their shape the SRP modelling of these satellites is challenging and the associated deficiencies may lead to significant precise orbit determination (POD) errors due to the satellite low weight.

Related modelling deficiencies of Galileo satellites may be visible in:l elevated orbit misclosures at day boundaries (Fig. 1),l degradations in satellite clock modelling, e.g., represented as linear

clock fit (Fig. 2),l β-dependent variations in scattering of SLR residuals seen at various

analysis centers to a different extent - the longer the employed orbital arc, the bigger the effect (Fig. 3).

e

ee

ee

e

Proposed solution (modifications w.r.t. ECOM2)

l Introduce a constant acceleration equivalent to 300W (approximate power of 2 PHM and 2 RAFS clocks) in the satellite +X direction.

l Activate Y0 for FOC satellites also in eclipses to account for different radiator sizes on +Y and -Y faces.

l Introduce D1S during eclipse seasons for Galileo satellites.

Summary

l The derived modifications to the existing ECOM2 are aimed to address thermal forces acting on Galileo satellites.

l If left unaccounted, the thermal effects may significantly deteriorate the estimated orbits.

l T h e p r o p o s e d m o d e l c h a n g e s significantly improve orbit modelling during eclipse seasons for Galileo satellites showing the high value of available spacecraft metadata.

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Fig. 8: Stochastic pulses of 15 eclipsing Galileo satellites during two consecutive eclipse seasons using ECOM2 (red) and adjusted ECOM2 (green) over days 130-200 of 2019.

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Fig. 14: SRP coefficients of the adjusted ECOM2 for E03 and E04 estimated over days 130-180 of 2019.

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ECOM2 20.5 21.0 62.0 1.72 1.61 1.43 55.9 29.2 42.4 23.0 10.1 14.1

ECOM-TB - - 15.2 - - 0.35 - - 14.2 - - 5.6

ECOM-TBP - 12.2 - - 0.69 - - 9.8 - - 6.8 -

ECOM-TBMP 12.2 - - 0.72 - - 27.1 - - 44.0 - -

Fig. 11: RMS of linear clock fits of 15 eclipsing Galileo satellites during days 130-200 of 2019 using ECOM2 (red) and adjusted ECOM2 (green), only eclipse periods have been considered.

Tab. 1: Mean RMS of linear clock fits of 14 eclipsing Galileo satellites (E12 excluded) during two subsequent eclipse seasons over days 130-200 of 2019.

(Prange et al., 2016)

Fig. 10: RMS of linear clock fits of E01 computed using ECOM2 (red) and adjusted ECOM2 (green).

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