Self interference noise cancellation to support multiple frequency bands with neural networks or recurrent neural networks
US11258473B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Apr 14, 2020 |
| Grant date | Feb 22, 2022 |
| Priority date | — |
| Expiry date | Apr 14, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04B7/0413
- WIPO fieldTelecommunications
- WIPO sectorElectrical engineering
Abstract
Examples described herein include systems and methods which include wireless devices and systems with examples of multiple frequency bands transmission with a recurrent neural network that compensates for the self-interference noise generated by power amplifiers at harmonic frequencies of a respective wireless receiver. The recurrent neural network may be coupled to antennas of a wireless device and configured to generate the adjusted signals that compensate self-interference. The recurrent neural network may include a network of processing elements configured to combine transmission signals into sets of intermediate results. Each set of intermediate results may be summed in the recurrent neural network to generate a corresponding adjusted signal. The adjusted signal is receivable by a corresponding wireless receiver to compensate for the self-interference noise generated by a wireless transmitter transmitting on the same or different frequency band as the wireless receiver is receiving.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.