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Related Experiment Videos

Phase noise in capacitively coupled micromechanical oscillators.

Ville Kaajakari1, Jukka K Koskinen, Tomi Mattila

  • 1VTT Technical Research Centre of Finland, VTT Information Technology, Espoo, Finland. ville.kaajakari@vtt.fi

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
|February 9, 2006
PubMed
Summary

Capacitively coupled microresonators are more susceptible to 1/f-noise aliasing due to capacitive transduction. This study presents analytical and simulation methods to model phase noise in micro-mechanical oscillators.

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Area of Science:

  • Physics
  • Electrical Engineering
  • Materials Science

Background:

  • Microresonator-based oscillators are crucial for various electronic applications.
  • Phase noise is a critical performance metric affecting oscillator stability.
  • Understanding noise mechanisms is essential for improving oscillator design.

Purpose of the Study:

  • To investigate phase noise in capacitively coupled microresonator oscillators.
  • To identify dominant noise mixing mechanisms, particularly low-frequency 1/f-noise.
  • To develop and validate accurate simulation methods for oscillator noise analysis.

Main Methods:

  • Detailed analytical modeling of noise mixing in microresonators.
  • Focus on capacitive transduction as a primary noise coupling mechanism.

Related Experiment Videos

  • Development of an efficient simulation technique for quantitative noise analysis in closed-loop oscillators.

    • Main Results:

    • Capacitive transduction identified as the dominant mechanism for 1/f-noise mixing into carrier sidebands.
    • Capacitively coupled micromechanical resonators show higher susceptibility to 1/f-noise aliasing compared to piezoelectric ones.
    • Simulated noise models accurately predict measured phase noise in a microresonator-based oscillator.

    Conclusions:

    • Capacitive coupling in microresonators introduces specific phase noise characteristics.
    • The developed simulation method provides a reliable tool for oscillator noise prediction.
    • Findings guide the design of more stable and lower-noise microresonator-based oscillators.