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Determining RF MEMS switch parameter by neural networks

Mafinejad, Yasser, Kouzani, Abbas Z. and Mafinezhad, Khalil 2009, Determining RF MEMS switch parameter by neural networks, in TENCON 2009 : Proceedings of the 2009 IEEE Region 10 Conference, IEEE, Piscataway, N. J., pp. 1-5.

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Title Determining RF MEMS switch parameter by neural networks
Author(s) Mafinejad, Yasser
Kouzani, Abbas Z.
Mafinezhad, Khalil
Conference name IEEE Region 10 Conference (2009 : Singapore)
Conference location Singapore
Conference dates 23-26 Nov. 2009
Title of proceedings TENCON 2009 : Proceedings of the 2009 IEEE Region 10 Conference
Editor(s) [Unknown]
Publication date 2009
Conference series IEEE Region 10 Conference
Start page 1
End page 5
Total pages 5
Publisher IEEE
Place of publication Piscataway, N. J.
Keyword(s) MEMS
RF
switch
neural networks
Summary A challenge in designing a RF MEMS switch is the determination of its parameters to satisfy the application requirements. Often this is done through a set of comprehensive time consuming simulations. This paper employs neural networks and develops a supervised learner that is capable of determining S11 parameter for a RF MEMS shunt switch. The inputs are the length its L and the height of its gap. The outputs are S11s for eight different frequency points from 0 to V band. The developed learner helps prevent repetitive simulations when designing the specified switch. Simulation results are presented.
ISBN 9781424445462
Language eng
Field of Research 091306 Microelectromechanical Systems (MEMS)
Socio Economic Objective 861702 Telemetry Equipment
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2009, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30029258

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