Perception data based GNSS multipath identification and correction
US12061276B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Aug 17, 2022 |
| Grant date | Aug 13, 2024 |
| Priority date | — |
| Expiry date | Aug 17, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01S19/48
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Perception data based multipath identification and correction is based on recognition that sensors such as radar, LIDAR, and cameras can generate perception data indicative of locations and properties of terrestrial objects in an environment surrounding a satellite navigation device (e.g., a GNSS receiver), which data may then be used in training, or updating, a model for determining or correcting distances to satellites to account for multipath. Multipath identification includes identifying multipaths to train the model, e.g., by using perception data to perform ray tracing. Multipath correction includes using the model to correct distance errors due to the multipaths or, equivalently, using the model to determine distances to satellites in a manner that accounts for the multipaths.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.