Doherty amplifier optimization using robust genetic algorithm and Unscented Transform

Author

Carneiro, Marcos L. ; De Carvalho, Paulo H P ; Deltimple, Nathalie ; Brito, Leonardo Da C ; De Menezes, Leonardo R A X ; Kerherve, Eric ; De Araujo, Sergio G. ; Rocira, A.S.

Author_Institution

Electr. Eng. Dept., Univ. of Brasilia, Brasilia, Brazil

fYear

2011

fDate

26-29 June 2011

Firstpage

77

Lastpage

80

Abstract

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.

Keywords

genetic algorithms; power amplifiers; Doherty power amplifier optimization; circuit performance uncertainties; computational cost reduction; genetic algorithm; multiobjective search; nondominated sorting genetic algorithm-II; unscented transform; Computational modeling; Genetic algorithms; Integrated circuit modeling; Monte Carlo methods; Optimization; Robustness; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

New Circuits and Systems Conference (NEWCAS), 2011 IEEE 9th International

Conference_Location

Bordeaux

Print_ISBN

978-1-61284-135-9

Type

conf

DOI

10.1109/NEWCAS.2011.5981223

Filename

5981223