A Two-Port Nonlinear Dynamic Behavioral Model of RF PAs Subject to Wideband Load Modulation

G.P. Gibiino , Konstanty Łukasik , Paweł Barmuta , Alberto Santarelli , Dominique M. M.-P. Schreurs , Fabio Filicori


This work presents a full two-port, i.e., double input-double output, behavioral modeling approach suitable for radio frequency power amplifiers (PAs) in the presence of dynamic load modulation (DLM). The formulation of the model, based on a first-order approximation of a modified Volterra series, accounts for the nonlinear distortion determined by large-signal operation under mismatched conditions, and also for the memory effects stimulated by a modulated PA input signal, or by the dynamic variations of the PA load. By following an exhaustive procedure defined in the frequency domain, the model of a general purpose commercial PA is extracted over 160 MHz of modulation bandwidth (BW) with nonlinear vector network analyzer measurements. Validation results under 20-MHz BW multisine excitation and injected 80-MHz BW multisine load modulation show improved prediction capabilities with respect to quasi-static or single-input descriptions, allowing for reliable system-level simulations in the presence of DLM.
Author G.P. Gibiino
G.P. Gibiino,,
, Konstanty Łukasik (FEIT / PE)
Konstanty Łukasik,,
- The Institute of Electronic Systems
, Paweł Barmuta (FEIT / PE)
Paweł Barmuta,,
- The Institute of Electronic Systems
, Alberto Santarelli
Alberto Santarelli,,
, Dominique M. M.-P. Schreurs
Dominique M. M.-P. Schreurs,,
, Fabio Filicori
Fabio Filicori,,
Journal seriesIEEE Transactions on Microwave Theory and Techniques, ISSN 0018-9480, (A 35 pkt)
Issue year2018
Publication size in sheets0.65
Keywords in EnglishBehavioral modeling, large-signal measurements, load modulation, memory effects, power amplifiers (PAs)
URL http://ieeexplore.ieee.org/document/8080311/
Languageen angielski
Score (nominal)35
Publication indicators WoS Impact Factor: 2016 = 2.897 (2) - 2016=3.26 (5)
Citation count*1 (2019-01-13)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.