Ground Network Optimization for Optical LEO Downlinks€¦ · LEO1: Link Planning Lead Time DLR.de...
Transcript of Ground Network Optimization for Optical LEO Downlinks€¦ · LEO1: Link Planning Lead Time DLR.de...
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Ground Network Optimization for Optical LEO Downlinks C. Fuchs et. al.
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• Introduction: ESA-project ONUBLA
• Investigated LEO scenarios
• Results • Comparison of various scenarios • Investigation of additional parameters
• Link Planning Lead Time • Buffer Size
• Conclusions
Outline
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• ESA activity „Assessment of access availability of space-ground optical links” (ESA contract number: 4000110718/14/NL/MV)
• Main project goal: Assess access availability of optical space-to-ground links, including limitations due to cloud coverage and atmospheric turbulence, considering different satellite orbits
• Several scenarios
• LEO downlink (covered in this presentation) • GEO feeder link • GEO relay link
Introduction: ESA project „ONUBLA“
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• DLR-Institute of Communications and Navigation, Oberpfaffenhofen (Prime, LEO scenarios)
• Airbus Defence & Space, Toulouse (GEO scenarios)
• Fraunhofer Heinrich-Hertz-Institute, Berlin (HHI) (Simulation software)
• Laboratoire d'Optique Atmosphérique, University of Lille (LOA) (Cloud database)
Project partners - consortium
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• Single database with high temporal and spatial resolution • All GEO sensor raw data (covers ~95% of Earth) processed with the same
algorithm Excellent comparability of cloud data for sites around the world
Worldwide cloud database
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Satellite
GEO Cloud data
MSG MTSAT GOES
LEO Cloud data
MODIS AQUA/TERRA
Instrument SEVIRI MTSAT-1R GOES I-M MODIS
Time resolution 15 min 30 min – 60 min 30 min 2 day + 2 night overpasses
Spatial resolution 4 km 1km-4km 1km-4km 1km – 5 km
Cloud Type detection
Scene Classification Cloud Mask + Type
Scene classification with adapted SAFNWC cloud mask
Cloud mask with 4 level confidence
Time span available 5 years 5 years 5 years 5 years
Coverage Geo FOV GEO TBC
Procurement Eumetsat / SAFNWC ICARE / SAFNWC ICARE / SAFNWC ICARE / Collection 6
NASA
Additionnal information
Cloud top altitude (CTOP) CTOP CTOP
Cloud Top altitude Cloud Optical
Thickness
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• Inputs • Satellite orbit • OGS network sites • Data rate • Buffer size • Data acquisition rate • Link Planning Lead Time • …
• Enables simulation of key parameters for application of optical links
Simulation tool
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• Introduction: ESA-project ONUBLA
• Investigated LEO scenarios
• Results • Comparison of various scenarios • Investigation of additional parameters
• Link Planning Lead Time • Buffer Size
• Conclusions
Outline
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Investigated LEO downlink scenarios
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Scenario n° OGS locations Interest
Scenario L1 Europe OGS network in Europe
Scenario L2 Europe and Africa Additional stations in Africa improve overall availability, as seasonal effects are balanced
Scenario L3 Europe and selected polar sites Polar ground stations benefit from more frequent satellite passes (for polar orbits), but usually suffer from worse weather
Scenario L4 Worldwide OGS network for international cooperation
Scenario L5 Worldwide: ESA, NASA & DLR Already existing space-communication sites with heritage (e.g. ESA-ESTRACK, NASA-DSN, DLR-Sites)
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Scenario LEO 1: Optical Ground Stations (Europe)
> ONUBLA LEO System Consolidation > C. Fuchs, DLR • 4/11/2016 DLR.de • Chart 9
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Scenario LEO 5: Optical Ground Stations (Space agency sites)
> ONUBLA LEO System Consolidation > C. Fuchs, DLR • 4/11/2016 DLR.de • Chart 10
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• Introduction: ESA-project ONUBLA
• Investigated LEO scenarios
• Results • Comparison of various scenarios • Investigation of additional parameters
• Link Planning Lead Time • Buffer Size
• Conclusions
Outline
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• Definition of reference mission • Data volume: 500 Gbit / orbit • Data rate: 8 Gbps • Buffer Size: 1.5 Tbit • Satellite Orbit: Sentinel 1 (693 km, LTDN: 6 am) • Link Planning Lead Time: 0 hours
• Presentation of results • Mean annual data throughput in Gbit/day vs. number of OGS • Percentage of data transmitted vs. number of OGS
Comparison of all 5 LEO scenarios
> ONUBLA LEO System Consolidation > C. Fuchs, DLR • 4/11/2016 DLR.de • Chart 12
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Comparison of throughput
> ONUBLA LEO System Consolidation > C. Fuchs, DLR • 4/11/2016 DLR.de • Chart 13
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Comparison of percentage of data transmitted (within 1 orbit from image acquisition)
> ONUBLA LEO System Consolidation > C. Fuchs, DLR • 4/11/2016 DLR.de • Chart 14
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• E.g. scenario LEO 5, 8 OGS: • 57% of all acquired data transmitted within 0.5 orbits • 82% of all acquired data transmitted within 1 orbit • 90% of all acquired data transmitted within 1.5 orbits • 98% of all acquired data transmitted within 3 orbits
Overview of „percentage of data transmitted“ within different latency constraints
> ONUBLA LEO System Consolidation > C. Fuchs, DLR • 4/11/2016 DLR.de • Chart 15
Scenario Number of OGS 4 8 12
LEO 1: Data transmitted within 0.5 / 1 / 1.5 / 3 orbits 23% / 42% / 50% / 70% 30% /51% / 60% / 79% 32% / 55% / 61% / 80%
LEO 2: Data transmitted within 0.5 / 1 / 1.5 / 3 orbits 28% / 46% / 52% / 72% 32% / 53% / 60% / 79% 34% / 55% / 61% / 80%
LEO 3: Data transmitted within 0.5 / 1 / 1.5 / 3 orbits 34% / 60% / 68% / 82% 45% / 71% / 78% / 90% 48% / 73% / 80% / 92%
LEO 4: Data transmitted within 0.5 / 1 / 1.5 / 3 orbits 39% / 69% / 78% / 96% 60% / 86% / 93% / 99% 69% / 92% / 98% / 100%
LEO 5: Data transmitted within 0.5 / 1 / 1.5 / 3 orbits 35% / 60% / 68% / 85% 57% / 82% / 90% / 98% 60% / 88% / 92% / 99%
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• Introduction: ESA-project ONUBLA
• Investigated LEO scenarios
• Results • Comparison of various scenarios • Investigation of additional parameters
• Link Planning Lead Time • Buffer Size
• Conclusions
Outline
DLR.de • Chart 16
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LEO 1: Influence of buffer size
DLR.de • Chart 17 > ONUBLA LEO System Consolidation > C. Fuchs, DLR • 4/11/2016
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LEO 4: Influence of buffer size
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Larger buffer enables substantially smaller data loss with fewer OGS
> ONUBLA LEO System Consolidation > C. Fuchs, DLR • 4/11/2016
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• Clear effect of link planning lead time
LEO1: Link Planning Lead Time
DLR.de • Chart 19 > ONUBLA LEO System Consolidation > C. Fuchs, DLR • 4/11/2016
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• The ESA-project ONUBLA and the developed simulation tool has been presented
• Optical Ground Station networks with larger spread around the grobe enable the transmission of larger amounts of data with lower latencies
• If no particular latency requirement is given by a mission, an increased buffer size enables transmission of almost all acquired data with relatively few ground stations
• The Link Planning Lead Time plays an important role in terms of achievable data throughput; For maximum throughput, the downlinks should be commanded with low lead time, or (alternatively), the terminal must be able to operate autonomously
Conclusions
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Acknowledgement: • Nicolas Perlot, HHI (Software) • Jerome Riedi, Univ. of Lille (Cloud data base) • Sylvain Poulenard, Airbus Defence and Space (GEO scenarios) • Josep Perdigues, ESA (Technical Officer)
Thank you very much for your attention!
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