Abstract
Neural network is widely used as a behavioral model of power amplifier (PA) for its high flexibility and nonlinear fitting ability. This paper presents a novel simplified neural network (SNN) PA behavioral model. By employing an input classifier, the proposed SNN model reduces the number of input data needed for training the neural network, while achieving the same modeling accuracy in comparison to the already published neural network PA models. Simulation results show that the proposed model significantly reduces the computational load of PA modeling.
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