Gang Li

TL;DR: A low-cost data-acquisition approach for model extraction of digital predistortion (DPD) of RF power amplifiers using only 1-bit-resolution analog-to-digital converters in the observation path to digitize the error signal between the input and output signals.

TL;DR: The experiment results show that the proposed VDLSTM model can achieve better linearization performance compared with the state-of-the-art models when linearizing PAs with wideband inputs and in wideband scenarios, SVDL STM model with much fewer parameters can present comparable linearzation performance compared to VDLstM model.

TL;DR: Extensive experimental results reveal that the proposed IGRNN and IGIRNN models can achieve better linearization performance compared with RNN model and traditional GMP model, and have comparable performance with lower computational complexity compared with the state-of-the-art RNN-based variant models, such as gated recurrent unit (GRU) model.

TL;DR: A novel forward modeling digital predistortion (DPD) method for hybrid beamforming transmitters based on a single power amplifier (PA) feedback that can realize equivalent linearization performance while reducing PAs’ feedbacks significantly.

TL;DR: A random demodulation based reduced sampling rate (RDRS) method is proposed to model and linearize the broadband power amplifiers (PAs) and demonstrates that the proposed method is well suitable for the ultra wideband digital predistortion.