[Back]


Talks and Poster Presentations (with Proceedings-Entry):

D. Silveira, M. Gadringer, H. Arthaber, M. Mayer, G. Magerl:
"Modeling, Analysis and Classificaton of a PA based on Identified Volterra Kernels";
Poster: The European Gallium Arsenide and other Compound Semiconductors Application Symposium, Paris, France; 10-03-2005 - 10-07-2005; in: "European Microwave Week 2005 Conference Proceedings", (2005), ISBN: 2-9600551-0-1.



English abstract:
This article presents the modeling of a microwave Power Amplifier (PA) in the almost linear and compression operation modes. An in-band quasi-white noise real-valued signal is used as input for the identification process to excite every possible source of nonlinearity. A segment of the input-output measurement data is processed to generate an initial Parallel Cascade Wiener Model (PCWM).The model is cross-validated with the entire measurement signal. The first order Volterra kernel is extracted in order to obtain an estimation of the amplifier`s memory. A new model is generated and its Volterra kernels up to the second order are estimated to apply the Structural Classification Methods (SCM). The result of this process is a suitable block-stucture for the final amplifier model. The optimized model is intended to be numerically robust having a high identification percentage based on a variance figure of merit. This resulting model can be used for simulation of linearization systems or even in further identification processes.


Online library catalogue of the TU Vienna:
http://aleph.ub.tuwien.ac.at/F?base=tuw01&func=find-c&ccl_term=AC05935688


Created from the Publication Database of the Vienna University of Technology.