User-aided signal line-of-sight (LOS) machine learning classifier
US12339376B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 9, 2022 |
| Grant date | Jun 24, 2025 |
| Priority date | — |
| Expiry date | Aug 10, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/022
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Machine learning techniques can be used to mitigate multipath in a GNSS receiver that includes a first trained model that provides extra path length (EPL) corrections in the GNSS receiver. The first trained model can be updated using an updated and trained model from one or more assistance servers that are in communication with the GNSS receiver. The GNSS receiver can provide, for a particular computed position and time, extracted features from received GNSS signals to the one or more assistance servers. The assistance servers can then use the extracted features and a source of true EPL corrections (e.g., from a 3D building map database for the particular computed position and time) to train a server model. The server model, once trained to a desired level of accuracy, can be transmitted to the GNSS receiver to replace the first trained model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.