Convolutional neural networks based computationally efficient method for equalization in FBMC-OQAM system
US11368349B1 · kind B1 · utility
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Key dates
| Filing date | Nov 15, 2021 |
| Grant date | Jun 21, 2022 |
| Priority date | — |
| Expiry date | Nov 15, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/084
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A filter bank multi-carrier (FBMC)-offset quadrature amplitude modulation (OQAM) system is disclosed. The FBMC-OQAM system includes a processing circuitry which is configured to receive a signal over a transmission medium, equalize the signal by a convolution neural network (CNN) equalizer, wherein the CNN equalizer is configured to estimate the received signal without performing channel estimation, and output the estimated signal as a bit stream.
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