Two Papers Accepted for Asilomar 2019

The two papers I was involved with and submitted to Asilomar this year were accepted. The first paper is “Neural Network DPD via Backpropagation through a Neural Network Model of the PA.” This work is the foundation of the idea which I expanded on for my SIPS submission. In this paper, we propose performing digital predistortion by modeling the PA as a neural network (NN). We can then backpropagate through the PA NN model to train a NN for performing the DPD.