Enhancing the accuracy of angle-of-arrival device locating through machine learning
US10794983B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 25, 2019 |
| Grant date | Oct 6, 2020 |
| Priority date | — |
| Expiry date | Jul 25, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W64/00
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
In one embodiment, a device obtains a machine learning model indicative of how to focus on particular location information from a plurality of radio frequency (RF) elements to provide an accurate location estimate of a wireless client based at least in part on angle-of-arrival information of the wireless client. When the device then obtains location information regarding the wireless client from the plurality of RF elements, it may apply the machine learning model to the location information regarding the wireless client to focus on particular location information of the location information from the plurality of RF elements. The device may then estimate a physical location of the wireless client based on focusing on the particular location information during a locationing computation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.