公开(公告)号：US20230006611A1

公开(公告)日：2023-01-05

申请号：US17857132

申请日：2022-07-04

Applicant: MediaTek Inc.

Inventor： Po-Yu Chen ,  Hao Chen ,  Yi-Min Tsai ,  Hao Yun Chen ,  Hsien-Kai Kuo ,  Hantao Huang ,  Hsin-Hung Chen ,  Yu Hsien Chang ,  Yu-Ming Lai ,  Lin Sen Wang ,  Chi-Tsan Chen ,  Sheng-Hong Yan

IPC: H03F1/32 ,  H03F1/02 ,  G06K9/62 ,  G06N3/063

Abstract: A compensator compensates for the distortions of a power amplifier circuit. A power amplifier neural network (PAN) is trained to model the power amplifier circuit using pre-determined input and output signal pairs that characterize the power amplifier circuit. Then a compensator is trained to pre-distort a signal received by the PAN. The compensator uses a neural network trained to optimize a loss between a compensator input and a PAN output, and the loss is calculated according to a multi-objective loss function that includes one or more time-domain loss function and one or more frequency-domain loss functions. The trained compensator performs signal compensation to thereby output a pre-distorted signal to the power amplifier circuit.