Título:
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Heuristic algorithms for power amplifier behavioral modeling
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Autor/a:
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Gilabert Pinal, Pere Lluís; Silveira, Daniel D.; Montoro López, Gabriel; Gadringer, Michael E.; Bertran Albertí, Eduardo
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Otros autores:
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. CMC - Control, Monitorització i Comunicacions |
Abstract:
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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 determining 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. |
Abstract:
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Peer Reviewed |
Materia(s):
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-Àrees temàtiques de la UPC::Enginyeria electrònica::Electrònica de potència -Power amplifiers -Heuristic programming -Heuristic algorithms -Behavioral modeling -Heurística -Amplificadors |
Derechos:
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Tipo de documento:
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Artículo |
Editor:
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Institute of Electrical and Electronics Engineers (IEEE)
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Compartir:
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