Radio frequency (RF) object detection using radar and machine learning
US11391817B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 7, 2019 |
| Grant date | Jul 19, 2022 |
| Priority date | — |
| Expiry date | Jan 23, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments described herein can address these and other issues by using radar machine learning to address the radio frequency (RF) to perform object identification, including facial recognition. In particular, embodiments may obtain IQ samples by transmitting and receiving a plurality of data packets with a respective plurality of transmitter antenna elements and receiver antenna elements, where each data packet of the plurality of data packets comprises one or more complementary pairs of Golay sequences. I/Q samples indicative of a channel impulse responses of an identification region obtained from the transmission and reception of the plurality of data packets may then be used to identify, with a random forest model, a physical object in the identification region.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.