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US 2026/0276838 A1Published application
System and method for gaussian process enhanced gnss corrections generation
AssigneeSwift Navigation, Inc.
InventorsAlexander Thomas Kleeman, Seth Toplosky
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Abstract
A method for generating GNSS corrections can include receiving, from a set of reference stations, a set of satellite observations corresponding to one or more satellites of one or more satellite constellations; generating a set of GNSS corrections using a sparse Gaussian process, where the sparse Gaussian process approximates a Gaussian process using at least one of a fully independent training conditional approximation, partially independent training conditional approximation, or a hierarchical gaussian process approximation.
Claims14
A method for generating GNSS corrections comprising:
- receiving, from a set of reference stations, a set of satellite observations corresponding to one or more satellites of one or more satellite constellations;
- generating a set of GNSS corrections using a sparse Gaussian process, wherein inputs to the sparse Gaussian process comprise the set of satellite observations and a set of covariance functions, wherein the sparse Gaussian process approximates a Gaussian process using at least one of a fully independent training conditional approximation, partially independent training conditional approximation, or a hierarchical gaussian process approximation;
- and
- determining a position of a receiver based on the set of GNSS corrections.
1 more element
Dependencies are inferred from the claim text.