Inertial sensor error modeling and compensation, and system for lifetime inertial sensor calibration and navigation enhancement
US11808780B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 27, 2022 |
| Grant date | Nov 7, 2023 |
| Priority date | — |
| Expiry date | Oct 27, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A method for inertial sensor error modeling and compensation comprises obtaining multiple bias drift datasets for an elapsed time period for one or more gyroscopes; generating a 3D bias drift data plot using the multiple bias drift datasets; generating a partial bias drift data image based on the 3D bias drift data plot; and inputting the partial bias drift data image into a machine learning algorithm to predict how bias drift evolves over time for the gyroscopes. The machine learning algorithm uses the partial bias drift data image, the elapsed time period, and temperature history to compute a predicted bias over temperature with respect to time, to thereby predict bias drift data for a future time period for the gyroscopes. The machine learning algorithm outputs a completed bias drift image that represents drift data from the elapsed time period and the predicted bias drift data for the future time period.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.