2017 IEEE 10th International Workshop on Computational Intelligence and Applications (IWCIA) 2017
DOI: 10.1109/iwcia.2017.8203576
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Stochastically approximated multiobjective optimization of dual input digital Doherty Power Amplifier

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Cited by 7 publications
(3 citation statements)
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“…The first work related to the online learning-based optimization of DIDPA is proposed in [23]. The authors proposed an adaptive technique based on a simultaneously perturbed stochastic approximation (SPSA) algorithm to tune the power ratio, the phase shift, and the bias voltages as free parameters.…”
Section: A State-of-the-artmentioning
confidence: 99%
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“…The first work related to the online learning-based optimization of DIDPA is proposed in [23]. The authors proposed an adaptive technique based on a simultaneously perturbed stochastic approximation (SPSA) algorithm to tune the power ratio, the phase shift, and the bias voltages as free parameters.…”
Section: A State-of-the-artmentioning
confidence: 99%
“…An extension of the work in [23] is reported in [24], where the authors update the cost function by including, in addition to G and PAE, the output power P out and adjacent channel power ratio (ACPR) as metric referring to the linearity. The optimization process used in [24] is carried out by using a global optimization algorithm such as simulated annealing (SA) in the first order.…”
Section: A State-of-the-artmentioning
confidence: 99%
“…Moreover, an operation bandwidth for the Doherty amplifiers becomes narrower as the output power ratio becomes larger. To address these problems, some new types of Doherty amplifiers have been proposed to date [5][6][7][8][9][10][11][12][13]. For efficiency enhancement at arbitrary back-off levels, GaN envelope tracking (ET) amplifiers have already been proposed [14,15].…”
Section: Hpa Technology Trend In Sub6 Ghzmentioning
confidence: 99%