• DocumentCode
    1731165
  • Title

    Direct parameter extraction in capacitively transduced micromechanical resonators using the anti-resonance

  • Author

    Lee, Joshua E -Y ; Seshia, Ashwin A.

  • Author_Institution
    Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, China
  • fYear
    2010
  • Firstpage
    133
  • Lastpage
    136
  • Abstract
    This paper presents a method for the fast and direct extraction of model parameters for capacitive MEMS resonators from their measured transmission response such as quality factor, resonant frequency, and motional resistance. We show that these parameters may be extracted without having to first de-embed the resonator motional current from the feedthrough. The series and parallel resonances from the measured electrical transmission are used to determine the MEMS resonator circuit parameters. The theoretical basis for the method is elucidated by using both the Nyquist and susceptance frequency response plots, and applicable in the limit where CF > CmQ; commonly the case when characterizing MEMS resonators at RF. The method is then applied to the measured electrical transmission for capacitively transduced MEMS resonators, and compared against parameters obtained using a Lorentzian fit to the measured response. Close agreement between the two methods is reported herein.
  • Keywords
    Nyquist criterion; Q-factor; cavity resonators; microcavities; micromechanical resonators; Lorentzian fit; capacitive MEMS resonators; direct parameter extraction; electrical transmission measurement; micromechanical resonators; motional resistance; quality factor; susceptance frequency response plots; transmission response; Approximation methods; Data mining; Electric variables measurement; Integrated circuit modeling; Mathematical model; Micromechanical devices; Resonant frequency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frequency Control Symposium (FCS), 2010 IEEE International
  • Conference_Location
    Newport Beach, CA
  • ISSN
    1075-6787
  • Print_ISBN
    978-1-4244-6399-2
  • Type

    conf

  • DOI
    10.1109/FREQ.2010.5556357
  • Filename
    5556357