Space vehicle geometry based machine learning for measurement error detection and classification
US12252274B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 31, 2022 |
| Grant date | Mar 18, 2025 |
| Priority date | — |
| Expiry date | May 2, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01S19/428
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Aspects presented herein may enable a positioning device or entity to perform PR measurement error detection and classification based on SV geometry via ML. In one aspect, a UE or a location server determines for each SV of a set of SVs at least a geometric orientation with respect to the UE. The UE or the location server determines, based on an ML classifier and the determined geometric orientation with respect to the UE for each SV of at least a subset of the set of SVs, a relative PR weight for each SV of the set of SVs. The UE or the location server estimates a position of the UE based on PR measurements of each SV of the set of SVs and the relative PR weight for each SV of the set of SVs.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.