Modeling New Generation Wireless Communications devices with Neural Networks
نویسندگان
چکیده
In this paper, a new Behavioral model that has the capability to learn and predict the dynamic behavior of nonlinear PAs, based on a Time-Delayed Neural Network (TDNN), is proposed. The Neural Network model can be trained with input/output device measurements or simulations, and a very good accuracy can be obtained in the device characterization easily and rapidly. These properties make this kind of models specially suitable for new wireless communications devices modeling, which are mostly nonlinear, and require speed, good model accuracy and simplicity in model building. The TDNN Behavioral model has been validated with Power Amplifier (PA) time-domain simulations, and good agreement has been found with the TDNN Behavioral model proposed.
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