Automatic optimization of input split and bias voltage in digitally controlled dual-input Doherty RF PAs
Digitally controlled Dual-Input Doherty Power Amplifiers (DIDPAs) are becoming
increasingly popular due to the flexible input signal splitting between the main and auxiliary …
increasingly popular due to the flexible input signal splitting between the main and auxiliary …
Beam-dependent active array linearization by global feature-based machine learning
An approach based on machine learning is proposed for the global linearization of
microwave active beamforming arrays. The method allows for the low-complexity real-time …
microwave active beamforming arrays. The method allows for the low-complexity real-time …
A two-port nonlinear dynamic behavioral model of RF PAs subject to wideband load modulation
GP Gibiino, K Łukasik, P Barmuta… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
This work presents a full two-port, ie, double input-double output, behavioral modeling
approach suitable for radio frequency power amplifiers (PAs) in the presence of dynamic …
approach suitable for radio frequency power amplifiers (PAs) in the presence of dynamic …
Multitone multiharmonic scattering parameters for the characterization of nonlinear networks
This work describes a generalized multitone multiharmonic scattering parameters (M2S-
parameters) measurement approach suitable for multiport nonlinear network …
parameters) measurement approach suitable for multiport nonlinear network …
Measurement-based automatic extraction of FET parasitic network by linear regression
A fully automatic procedure for the empirical extraction of field-effect transistors (FETs)
parasitic network is proposed. By exploiting a grid search approach combined with linear …
parasitic network is proposed. By exploiting a grid search approach combined with linear …
Analysis of Influencing Parameters Enhancing the Plucking Efficiency of Piezoelectric Energy Harvesters
The integration of energy harvesting systems into sensing technologies can result in novel
autonomous sensor nodes, characterized by significant simplification and mass reduction …
autonomous sensor nodes, characterized by significant simplification and mass reduction …
Design of miniaturized wearable broadband energy harvesters
P Gljušćić - 2022 - repository.riteh.uniri.hr
Energy harvesting (EH) is the process of collecting low-level ambient energy and converting
it into electrical energy to be used for powering miniaturized autonomous devices, wearable …
it into electrical energy to be used for powering miniaturized autonomous devices, wearable …
Uncertainty in large-signal measurements under variable load conditions
K Łukasik, J Cheron, G Avolio… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
We investigate the uncertainty of large-signal measurements of a microwave transistor due
to variation in the load conditions at the fundamental frequency. In particular, we evaluate …
to variation in the load conditions at the fundamental frequency. In particular, we evaluate …
M2S parameters: a Multi-Tone Multi-Harmonic Measurement Approach for the Characterization of Nonlinear Networks
A multi-tone multi-harmonic scattering (M 2 S) parameter measurement approach, suitable
for multi-port nonlinear network characterization, is proposed. The M 2 S parameters, based …
for multi-port nonlinear network characterization, is proposed. The M 2 S parameters, based …
Application of Gaussian Radial Basis Functions for Fast Spatial Imaging of Ground Penetration Radar Data Obtained on an Irregular Grid
K Jasek, M Pasternak, W Miluski, J Bugaj, M Grabka - Electronics, 2021 - mdpi.com
Spatial imaging of ground penetrating radar (GPR) measurement data is a difficult
computational problem that is time consuming and requires substantial memory resources …
computational problem that is time consuming and requires substantial memory resources …