DocumentCode :
564122
Title :
RF varactor design based on evolutionary algorithms
Author :
Pereira, Pedro ; Fino, Helena ; Ventim-Neves, M.
Author_Institution :
Dept. de Eng. Electrotec., Univ. Nova de Lisboa, Caparica, Portugal
fYear :
2012
fDate :
24-26 May 2012
Firstpage :
277
Lastpage :
282
Abstract :
This paper introduces an optimization methodology for the design of RF varactors. The characterization of the varactor behaviour is supported by a set of equations based on technological parameters, granting the accuracy of the results, as well as the adaptability of the model to any technology. The varactor design is achieved through the implementation of a Genetic Algorithms (GA) optimization methodology, which is able to deal with continuous and/or discrete variables, making possible to suit both technological and layout constraints. A set of working examples for UMC130 technology are addressed. The results presented, spotlight the potential of varactor analytical model, combined with a GA optimization procedure, when integrated in optimization design tools. The accuracy of the results is checked against HSPICE simulator.
Keywords :
circuit optimisation; genetic algorithms; varactors; GA optimization procedure; RF varactor design; UMC130 technology; continuous variable; discrete variable; evolutionary algorithm; genetic algorithm optimization methodology; optimization design tool; optimization methodology; varactor analytical model; Capacitance; Genetic algorithms; Integrated circuit modeling; Mathematical model; Optimization; Transistors; Varactors; Discrete-Variable Optimization; Evolutionary Algorithms; Technology-aware Varactor Design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mixed Design of Integrated Circuits and Systems (MIXDES), 2012 Proceedings of the 19th International Conference
Conference_Location :
Warsaw
Print_ISBN :
978-1-4577-2092-5
Type :
conf
Filename :
6226193
Link To Document :
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