Gradient-adaptive spline-interpolated LUT methods for low-complexity digital predistortion

PP Campo, A Brihuega, L Anttila… - … on Circuits and …, 2020 - ieeexplore.ieee.org
In this paper, new digital predistortion (DPD) solutions for power amplifier (PA) linearization
are proposed, with particular emphasis on reduced processing complexity in future 5G and …

A low complexity moving average nested GMP model for digital predistortion of broadband power amplifiers

W Chen, X Liu, J Chu, H Wu, Z Feng… - … on Circuits and …, 2022 - ieeexplore.ieee.org
In this paper, a low complexity moving average nested generalized memory polynomial
model (MAN-GMP) is proposed for digital predistortion (DPD) of broadband power amplifiers …

Heterogeneous basis parameter combination method and dynamic transfer strategy for digital predistortion of RF power amplifiers

G Yang, C Jiang, R Han, J Tan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To accomplish rapid adaptation of the digital predistortion (DPD) model, a low-complexity
parameter extraction architecture is proposed in this article. The extracted DPD model …

OTFS modulation and influence of wideband RF impairments measured on a 60 GHz testbed

R Marsalek, J Blumenstein… - 2020 IEEE 21st …, 2020 - ieeexplore.ieee.org
Orthogonal Time Frequency Space (OTFS) modulation has recently been proposed for
communication in doubly selective channels. Together with millimeter waves, OTFS seems …

Reducing parameter estimation error of behavioral modeling and digital predistortion via transfer learning for RF power amplifiers

G Yang, C Jiang, R Han, J Tan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Digital predistortion (DPD) has been widely used in linearizing radio frequency (RF) power
amplifiers (PAs). However, model coefficients could not always be estimated accurately for a …

Memory feature-based sample selection strategy for few-sample learning digital predistortion

G Yang, W Qiao, C Jiang, L Su, R Han… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article proposed a novel sample selection strategy for reducing the computational
complexity of digital predistortion (DPD). Due to the memory effect of the power amplifier …

Mesh-selecting for computational efficient PA behavioral modeling and DPD linearization

T Wang, PL Gilabert - IEEE Microwave and Wireless …, 2020 - ieeexplore.ieee.org
This letter proposes a mesh-selecting (MeS) method for complex-valued signals oriented at
significantly reducing the training data required to extract the parameters of mathematical …

Digital pre-equalization for performance improvement in coherent PON

Z Gong, F Shi, Q He, J Li, M Luo, X Zhang, T Huang… - Optics …, 2024 - opg.optica.org
As high-speed optical access networks continue to evolve, reducing the computational
complexity at the optical network unit (ONU) side remains a significant challenge in coherent …

Bandlimited DPD adapted APD for 5G communication

A Kumar, M Rawat - … Transactions on Circuits and Systems II …, 2022 - ieeexplore.ieee.org
Spectrally efficient techniques which help in achieving a high data rate in the communication
system also generate signals with a high peak-to-average power ratio (PAPR), which drives …

Digital predistortion based on sample selection with memory effect

G Yang, H Li, W Qiao, C Jiang, Q Liu… - … Journal of RF and …, 2022 - Wiley Online Library
In this article, a novel digital predistortion (DPD) method for radio frequency (RF) power
amplifiers (PAs) based on adaptive sample selection is proposed. In the traditional …