Covers theoretical and practical aspects related to the behavioral modelling and
predistortion of wireless transmitters and power amplifiers. It includes simulation software …

This paper presents a method for pruning power amplifier (PA) behavioral models and
digital predistorters based on compressed sampling theory. Using this method, the number …

In this paper, we present a method to implement digital predistortion (DPD) memory models
using lookup tables (LUTs) with linear interpolation and extrapolation. We introduce the …

Transmitter digital domain linearisation solutions are constantly evolving to extract optimum
benefits in terms of cost, performance and flexibility. This study highlights the current and …

This paper proposes a new three-layered biased memory polynomial for behavioral
modeling and digital predistortion of highly nonlinear transmitters/power amplifiers (PAs) for …

The Neural Network (NN) based models are commonly used in power amplifier modeling
and predistorter design, and seen as a potential alternative to model and compensate …

In this paper, a bandwidth and power scalable digital predistortion architecture is proposed
for the linearization of power amplifiers (PA) exhibiting memory effects. The proposed digital …

Power amplifiers are widely used in RF broadcasting applications. However, they tend to
exhibit nonlinear behavior that distorts the input signals both in the time and frequency …

This paper proposes a novel, complexity-reduced, dual-input, two-box model for the
modeling and digital predistortion of a dual-band power amplifier (PA) in the presence of in …

This paper presents a feedforward Hammerstein structure that is proposed for the modeling
and digital predistortion of the dynamic nonlinear behavior of the wideband radio frequency …