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Satellite Selection in Multi-GNSS Positioning

Authors: Yahao Cheng; Johann Dambeck; Florian Holzapfel;

Satellite Selection in Multi-GNSS Positioning

Abstract

Satellites selection can be performed based on constellation geometry, ranging-signal quality, or both. For applications where multipath and blockage are not major problems, Signal-in-Space (SIS) user range error varies less significantly, which is the case for many applications most of the time. Constellation geometry is then the key criterion for satellite selection. This paper focusses on the constellation-geometry aspect of satellite selection. A review of existing theoretical analyses for Dilution of Precision (DOP) minimization and existing satellite selection methods is initially given. An extended analysis of existing methods and discussion of their pros and cons is then provided followed by four simulated GNSS constellations to evaluate the methods. Finally, a summary of the existing methods and one modified method regarding performance in DOP values and the corresponding computational efforts is presented.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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