Zeitschriftenartikel:
P. Gilabert, D. Silveira, G. Montoro, M. Gadringer, E. Bertran:
"Heuristic Algorithms for Power Amplifier Behavioral Modeling";
IEEE Microwave and Wireless Components Letters,
vol. 17
(2007),
S. 715
- 717.
Kurzfassung englisch:
This letter presents the use of two heuristic search algorithms, named simulated annealing and genetic algorithms, for the extraction of power amplifier(PA) behavioral model parameters. Their application in this letter consists in determinig the memory length and the most significant delays of the considered model structure. Two PA behavioral models have been considered: an augmented nonlinear moving average model and a nonlinear auto-regressive moving average model. By using WCDMA signals measured from a three-stage LDMOS class AB PA, both PA models were extracted. Finally, results presenting the advantages of using these heuristic search algorithms are provided.
Schlagworte:
Behavioral models, genetic algorithm, heuristic search, power amplifier (PA), simulated annealing
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.