Zeitschriftenartikel:
B. Pichler, G. Magerl, H. Arthaber:
"A Study on Quadratic PHD Models for Large Signal Applications";
IEEE Transactions on Microwave Theory and Techniques,
Vol. 67
(2019),
No. 7;
S. 2514
- 2520.
Kurzfassung englisch:
Measurement-based black box behavioral models
are widely used nowadays. To handle nonlinear effects efficiently,
such models often rely on approximation techniques. Polyharmonic
distortion (PHD) modeling emerged as a viable approach
for describing a nonlinear mapping. Typical PHD-based models,
such as the well-known X-parameter model, are gained from
linearization while operating on a certain large signal (LS)
operational point. This limits the accuracy, especially for hard
nonlinearities. However, quadratic terms can be added, which
result in the quadratic PHD (QPHD) model. This enables highly
accurate models for devices in strongly nonlinear operation, even
in highly mismatched environments. In this paper, the accuracy of
such models is investigated by predicting typical nonlinear measures,
such as load-pull contours and intermodulation distortion,
to assess the model accuracy for both static and dynamic stimulus.
Furthermore, the LS matching problem is solved for both
the X-parameter and the QPHD model. This allows to predict
the optimum matching analytically, without performing load-pull
analysis. To verify the accuracy of the model, the results are
presented by comparing the model prediction with verification
measurements for a commercially available GaN HEMT.
Schlagworte:
Active device modeling, behavioral modeling, load-pull, nonlinear measurements, nonlinear modeling, polyharmonic distortion (PHD) modeling, X-parameters.
"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/TMTT.2019.2915086
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.