In this article, a thorough overview of behavioral modeling and predistortion of dynamic
nonlinearities in RF PAs and transmitters was presented. The sensitivity of the DUT behavior …

The RF PA, as one of the most essential components in any wireless system, suffers from
inherent nonlinearities. The output of a PA must comply with the linearity requirement …

A simple and flexible technique for improving the modeling and predistortion of power
amplifiers is presented. The technique, which relies on the sparsity assumption for the kernel …

This paper presents two novel neural network models for radio-frequency (RF) power
amplifiers (PAs): vector decomposed time-delay neural network (VDTDNN) model and …

This paper derives a novel continuum of Doherty power amplifier (PA) solutions with
enhanced load modulation over an extended RF bandwidth. It is analytically shown that …

Digital predistortion (DPD) is one of the most effective techniques to mitigate the distortions
caused by power amplifier (PA) nonlinearity and memory effects. As the input signal …

This paper introduces a new, accurate, and complexity-reduced three-nonlinear-box model
that is suitable for the behavioral modeling and digital predistortion (DPD) of power …

A novel enhanced Hammerstein behavior model consisting of a weighted memoryless
polynomial followed by a Volterra filter is proposed. The weighted polynomial is used for …

This paper proposes two novel vector decomposed neural network models for behavioral
modeling and digital predistortion (DPD) of radio-frequency (RF) power amplifiers (PAs) …

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 …