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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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.
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