Behavior modeling and digital predistortion of mismatched wireless transmitters using convolutional neural networks

摘要: In modern wireless compact transmitters, Power Amplifier (PA) behavior is considerably affected by the impedance mismatch between the PA's output and the antenna's input. This PA's output mismatch results in a reflection at the PA–antenna interface. In this brief, reflection-aware PA modeling and digital predistortion (DPD) techniques are proposed to mitigate the negative impact of this mismatch on the forward and reverse models of the PA. An Augmented Convolutional neural network model $(\boldsymbol {\Gamma} $ ACNN) is …