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Estimation and Error Analysis for Optomechanical Inertial Sensors.

Patrick Kelly1, Manoranjan Majji1, Felipe Guzmán1

  • 1Department of Aerospace Engineering, Texas A&M University, 3141 TAMU, College Station, TX 77843-3141, USA.

Sensors (Basel, Switzerland)
|September 28, 2021
PubMed
Summary
This summary is machine-generated.

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This study presents a new method for estimating acceleration using an optomechanical inertial sensor. The approach accurately calibrates sensor bias, enabling precise acceleration measurements over time.

Area of Science:

  • Optomechanics
  • Inertial Sensing
  • Signal Processing

Background:

  • Inertial sensors are crucial for navigation and motion tracking.
  • Optomechanical sensors offer high sensitivity but require accurate bias estimation.
  • Stochastic processes like bias and noise affect sensor performance.

Purpose of the Study:

  • To develop a sensor model and methodology for estimating forcing accelerations.
  • To incorporate stochastic bias and measurement noise into the model.
  • To validate the accuracy and precision of the proposed estimation methods.

Main Methods:

  • Developed a Kalman filter for instantaneous sensor bias estimation.
  • Utilized bias estimates in two distinct approaches for external acceleration estimation.
Keywords:
accelerometererror analysisestimationoptomechanical sensorssensor design

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  • Employed simulated measurements and bench-tested oscillator data for performance evaluation.

    • Main Results:

    • The developed methods accurately estimate sensor bias within a short calibration period.
    • Precise acceleration estimates are achievable over extended operational durations.
    • Demonstrated the feasibility of reliable acceleration estimation with optomechanical sensors.

    Conclusions:

    • The presented methodology enables accurate and reliable acceleration estimation.
    • Optomechanical inertial sensing technology, combined with advanced filtering, offers significant potential.
    • This work paves the way for enhanced precision in inertial measurement systems.