Jingyao Su | 苏靖尧
Jingyao Su | 苏靖尧
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troposphere
Bounding the residual tropospheric error by interval analysis
GNSS integrity monitoring requires proper bounding to characterize all ranging error sources. Unlike classical approaches based on probabilistic assumptions, our alternative integrity approach depends on deterministic interval bounds as inputs. The intrinsically linear uncertainty propagation with intervals is adequate to describe remaining systematic uncertainty, the so-called imprecision. In this contribution, we make a proposal on how to derive the required intervals in order to quantify and bound the residual error for empirical troposphere models, based on the refined sensitivity analysis via interval arithmetic. This will contribute to a realistic uncertainty assessment of GNSS-based single point positioning.
Jingyao Su
,
Prof. Steffen Schön
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Bounding the residual tropospheric error by interval analysis
Poster presentation at
IAG 2021 - Scientific Assembly of the International Association of Geodesy
Jun 29, 2021 8:00 AM — Jun 28, 2021 10:00 PM
Virtual, Beijing, China
Jingyao Su
,
Steffen Schön
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