Heuristic Algorithms for Power Amplifier Behavioral Modeling

Abstract—This letter presents the use of two heuristic search al-gorithms, named simulated annealing and genetic algorithms, for the extraction of power amplifier (PA) behavioral model param-eters. 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. Index Terms—Behavioral models, genetic algorithm, heuristic search, power amplifier (PA), simulated annealing. I