- 专利标题: MACHINE LEARNING BASED DIGITAL PRE-DISTORTION FOR POWER AMPLIFIERS
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申请号: US17331145申请日: 2021-05-26
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公开(公告)号: US20210391832A1公开(公告)日: 2021-12-16
- 发明人: Oana-Elena BARBU , Benny VEJLGAARD , Johannes HARREBEK
- 申请人: Nokia Technologies Oy
- 申请人地址: FI Espoo
- 专利权人: Nokia Technologies Oy
- 当前专利权人: Nokia Technologies Oy
- 当前专利权人地址: FI Espoo
- 优先权: FI20205611 20200612
- 主分类号: H03F1/32
- IPC分类号: H03F1/32 ; H04B1/04 ; H03F3/24
摘要:
Example embodiments relate to machine learning based digital pre-distortion for power amplifiers. A device may amplify a signal with a power amplifier and transmit the signal. The signal may be received by an internal feedback receiver of the device. The device may further comprise a first machine learning model configured to emulate an external feedback receiver and to generate an emulated feedback signal based on the internal feedback signal. The device may further comprise a second machine learning model configured to determine digital pre-distortion parameters for the power amplifier based on the emulated feedback signal. Apparatuses, methods, and computer programs are disclosed.
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