Neural-network-based pre-distortion method to compensate for low resolution DAC nonlinearity

摘要

We evaluate the effect of digital to analogue converters (DACs) nonlinearity in transceivers based on low resolution DACs. A pre-distortion technique based on indirect learning neural networks is proposed which shows a 3.8dB improvement with high nonlinearity for 32Gbaud 64-QAM.