公开(公告)号：US20220200540A1

公开(公告)日：2022-06-23

申请号：US17557907

申请日：2021-12-21

申请人： ULAK HABERLESME A.S.

发明人： DESDINA KOF ,  ALI ARSAL ,  ALPER SINAV ,  ALI METIN BALCI

IPC分类号： H03F1/32 ,  H03F3/24 ,  H04B1/04

摘要： The non-linear behavior of power amplifier is linearized using a pre-distorter that is adaptive to changes in the behavior of the power amplifier and uses an artificial neural network. According to embodiments presented here, the pre-distorter's artificial neural network is model-trained from time to time to learn the inverse of the transfer function of the power amplifier by using a second pre-distorter modeling system. The second modeling system determines the parameters of the inverse of the transfer function of the power amplifier using a least square method by using the (un-distorted) output signal samples of the power amplifier. Using the output of the second system as output to train the neural network enables the neural network to more successfully linearize the power amplifier's behavior. Furthermore, the trained artificial neural network as the pre-distorter can be implemented in hardware and presents a small form factor.