Doherty Amplifier Optimization Using Robust Genetic Algorithm and Unscented Transform

Marcos Carneiro (1) , P.H.P. Carvalho (2) , Nathalie Deltimple (1) , L.C. Brito (3) , L.R.A.X. Menezes , Eric Kerhervé (1) , S.G. Araujo , A.S. Rocira

1 IMS - Laboratoire de l'intégration, du matériau au système
2 UnB - Universidade de Brasilia [Brasília]
3 Universidade de goias-goiania-

A robust genetic circuit optimizer using Unscented Transform and Non-dominated Sorting Genetic Algorithm-II is presented. The algorithm provides significant computational cost reduction compared to Monte Carlo method. The Unscented Transform permits circuit performance uncertainties determination from components uncertainties, thus, a search through robustness can be approached. Besides reduced computational effort, a plethora of possibilities offered to circuit designer by the multi-objective search can be observed as result. Doherty power amplifier was used as case study.

Domaines: Electronique

Marcos Carneiro, P.H.P. Carvalho, Nathalie Deltimple, L.C. Brito, L.R.A.X. Menezes, et al.. Doherty Amplifier Optimization Using Robust Genetic Algorithm and Unscented Transform. NEWCAS 2011, Jun 2011, BORDEAUX, France. pp.77-80. ⟨hal-00693429⟩