PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
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.
CitationGilabert, P. L.; Silveira, D. D.; Montoro, G.; Gadringer, M. E.; Bertran, E. Heuristic algorithms for power amplifier behavioral modeling, IEEE Microwave and Wireless Components Letters, 2007, vol. 17, núm. 6, p. 715-717
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