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doi: 10.1002/navi.284
handle: 2117/344945
When incorporating multiple constellations into future ground based augmentation systems (GBAS), a problem with limited VDB (VHF data broadcast) capacity might arise. Furthermore, the number of airborne receiver tracking channels could be insufficient to use all visible satellites. One way to cope with these issues is to perform a satellite selection to limit the number of used satellites with minor impact on performance. This paper investigates different factors that constrain the approach of simply selecting “the best set in every epoch” and shows how to overcome some limitations
Performance Assessment, Local Augmentation, Operational context, Satellites, Satellite Selection, GBAS, Navigation, Satèl·lits artificials -- Investigació, Àrees temàtiques de la UPC::Aeronàutica i espai::Astronàutica, Satellite Navigation, :Aeronàutica i espai::Astronàutica [Àrees temàtiques de la UPC], Satellites artificiels
Performance Assessment, Local Augmentation, Operational context, Satellites, Satellite Selection, GBAS, Navigation, Satèl·lits artificials -- Investigació, Àrees temàtiques de la UPC::Aeronàutica i espai::Astronàutica, Satellite Navigation, :Aeronàutica i espai::Astronàutica [Àrees temàtiques de la UPC], Satellites artificiels
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 5 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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