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Telfor Journal
2015, vol. 7, br. 2, str. 80-85
jezik rada: engleski
vrsta rada: neklasifikovan
doi:10.5937/telfor1502080M


Analysis of RF MEMS capacitive switches by using switch EM ANN models
(naslov ne postoji na srpskom)
aUniverzitet u Nišu, Elektronski fakultet
bTU München, - Lehrstuhl für Hochfrequenztechnik, München, Germany

e-adresa: zlatica.marinkovic@elfak.ni.ac.rs, ana.aleksic@elf

Projekat

Istraživanje i razvoj rešenja za poboljšanje performansi bežičnih komunikacionih sistema u mikrotalasnom i milimetarskom opsegu frekvencija (MPNTR - 32052)
Bilateral Serbian-German project 'Smart Modeling and Optimization of 3D Structured RF Components' supported by the DAAD foundation

Sažetak

(ne postoji na srpskom)
Artificial neural networks (ANNs) have appeared to be an alternative to the conventional models of RF MEMS switches. In this paper, neural models of an RF MEMS capacitive switch are developed and used for the electrical design of the switch. Namely, an ANN model relating the switch resonant frequency and the bridge dimensions is used to analyze efficiently the switch behavior with changes of bridge dimensions. Furthermore, it is illustrated how the developed model can be used for the determination of bridge dimensions in order to achieve the desired switch resonant frequency. In addition, application of a switch inverse ANN model for the determination of bridge dimensions is analyzed as well.

Ključne reči

Reference

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