Laser frequency sweep linearization by iterative learning pre-distortion for FMCW LiDAR

X Zhang, J Pouls, MC Wu - Optics express, 2019 - opg.optica.org
We report on a laser frequency sweep linearization method by iterative learning pre-
distortion for frequency-modulated continuous-wave (FMCW) light detection and ranging …

Analysis and design of highly efficient wideband RF-input sequential load modulated balanced power amplifier

J Pang, Y Li, M Li, Y Zhang, XY Zhou… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
The analysis and design of an RF-input sequential load modulated balanced power
amplifier (SLMBA) are presented in this article. Unlike the existing LMBAs, in this new …

Beyond the Moore-Penrose inverse: Strategies for the estimation of digital predistortion linearization parameters

PL Gilabert, RN Braithwaite… - IEEE Microwave …, 2020 - ieeexplore.ieee.org
Digital predistortion (DPD) is the linearization technique most often used to cope with the
inherent tradeoff between linearity and efficiency in power amplifiers (PAs). Adaptation is …

Symmetrical load modulated balanced power amplifier with asymmetrical output coupling for load modulation continuum

P Saad, R Hou - IEEE Transactions on Microwave Theory and …, 2022 - ieeexplore.ieee.org
This article presents a technique for load-modulated balanced amplifiers (LMBAs) to
achieve a continuum of load modulation (LM) ratio. This has been possible in prior arts …

Digital predistortion of RF power amplifiers with phase-gated recurrent neural networks

T Kobal, Y Li, X Wang, A Zhu - IEEE Transactions on Microwave …, 2022 - ieeexplore.ieee.org
In this article, we present a novel recurrent neural network (RNN)-based behavioral model to
linearize radio frequency (RF) power amplifiers (PAs) under wideband excitations. Based on …

Self-sensing digital predistortion of RF power amplifiers for 6G intelligent radio

Y Yu, J Cai, XW Zhu, P Chen… - IEEE Microwave and …, 2022 - ieeexplore.ieee.org
The future intelligent communication systems will dynamically adjust the transmitted signal
according to the radio environment and human behavior, which will lead to the rapid change …

Gated dynamic neural network model for digital predistortion of RF power amplifiers with varying transmission configurations

C Jiang, G Yang, R Han, J Tan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The future intelligent transmitter will dynamically adjust the transmission configuration on
demand, which will bring new challenges to digital predistortion (DPD). In this article, we …

Ultra-wideband dual-mode Doherty power amplifier using reciprocal gate bias for 5G applications

M Li, J Pang, Y Li, A Zhu - IEEE Transactions on Microwave …, 2019 - ieeexplore.ieee.org
A novel architecture to extend the bandwidth of the Doherty power amplifier (DPA) is
presented in this article. It is illustrated that two DPA modes at different frequency bands can …

Multiband dual-mode Doherty power amplifier employing phase periodic matching network and reciprocal gate bias for 5G applications

J Pang, Z Dai, Y Li, M Li, A Zhu - IEEE transactions on …, 2020 - ieeexplore.ieee.org
This article presents a novel method to design the multiband Doherty power amplifier (DPA).
It is illustrated that phase periodic matching networks (PPMNs) can be used as multiband …

Complexity-reduced model adaptation for digital predistortion of RF power amplifiers with pretraining-based feature extraction

Y Li, X Wang, A Zhu - IEEE Transactions on Microwave Theory …, 2020 - ieeexplore.ieee.org
In this article, we present a new method to reduce the model adaptation complexity for digital
predistortion (DPD) of radio frequency (RF) power amplifiers (PAs) under varying operating …