Talks and Poster Presentations (with Proceedings-Entry):
B. Pichler, G. Magerl, H. Arthaber:
"A Robust Extraction Technique for Second Order PHD Based Behavioral Models";
Poster: INMMIC 2018,
Brive-La-Gaillarde, France;
07-05-2018
- 07-06-2018; in: "International Workshop on Integrated Nonlinear Microwave and Millimetre-Wave Circuits 2018",
(2018),
ISBN: 978-1-5386-5507-8;
3 pages.
English abstract:
Measurement based black box behavioral models for non-linear devices are increasingly popular nowadays. One important candidate is the X-parameter model, which is based on polyharmonic distortion modeling (PHD). The X-parameter model only utilizes linear terms of the PHD based approximation, hence, devices operating in a highly non-linear regime cannot be modeled accurately. However, quadratic PHD (QPHD) terms can be utilized to increase the model prediction accuracy, but they are generally hard to extract. In this paper a technique is presented, which allows to extract QPHD terms by utilizing load-pull measurements. With this technique a model with a significantly reduced model error was generated. This was demonstrated by comparing the proposed model with a state of the art X-parameter model.
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/INMMIC.2018.8430017
Created from the Publication Database of the Vienna University of Technology.