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This study models how phase noise and distortion affect oscillator sensor systems. A new method accurately predicts signal-to-noise ratio (SNR) and speeds up system optimization.

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Integrated Circuit Design

Background:

  • Oscillator-based systems are crucial for sensor data acquisition.
  • Phase noise and distortion are key performance limitations.
  • Existing models do not directly link phase noise to sensor SNR.

Purpose of the Study:

  • To develop a model for estimating phase noise influence on oscillator sensor performance.
  • To propose a method for calculating signal-to-noise-and-distortion ratio (SNDR) and dynamic range.
  • To accelerate simulation and verification of these systems.

Main Methods:

  • Phase noise reflection to the oscillator input.
  • Periodic steady-state analysis for SNR prediction.
  • Validation through simulation and experimental CMOS prototype.

Main Results:

  • A validated model accurately estimates phase noise impact on oscillator sensor SNR.
  • A novel method for SNDR and dynamic range estimation is presented.
  • Simulation time is reduced by over an order of magnitude.

Conclusions:

  • The proposed model provides a straightforward way to assess phase noise effects.
  • The accelerated simulation method facilitates iterative optimization and verification.
  • This work enhances the design and performance analysis of oscillator-based sensor systems.