FPGA implementation of RVFTDNN for digital predistortion

Hardware implementation of real-valued focused time-delay neural network (RVFTDNN) in FPGA for digital predistortion is presented in this paper. The predistorter implemented in field programmable gate array (FPGA) using RVFTDNN is obtained based on model inverse with indirect learning scheme and trained offline with Levenberg-Marquardt (LM) algorithm. Measurement results show that more than 10dB improvement of adjacent channel power ration (ACPR) performance of the power amplifier (PA) can be obtained for single carrier WCDMA signal.