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Phase Imbalance Optimization in Interference Linear Displacement Sensor with Surface Gratings.

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Summary
This summary is machine-generated.

Optimizing diffraction grating parameters in linear displacement sensors enhances quadrature signal stability. This study uses rigorous coupled-wave analysis to improve phase relationships for accurate measurements.

Keywords:
diffraction gratingholographic gratingholographic materialsinterference systemlinear displacement sensorphase imbalance

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Area of Science:

  • Optics
  • Metrology
  • Nanotechnology

Background:

  • Interferential linear displacement sensors rely on quadrature signals for precise position detection.
  • Diffraction gratings in double grating interference schemes act as beam splitters and phase retarders.
  • The reference grating in the reading head controls phase shifts, while the measurement grating tracks displacement.

Purpose of the Study:

  • To stabilize phase imbalance in sensor output quadrature signals.
  • To propose an optimization method for diffraction grating parameters considering both energy and phase relationships.
  • To analyze the influence of grating parameters on quadrature modulation and phase imbalance.

Main Methods:

  • Rigorous coupled-wave analysis (RCWA) simulations were employed to model phase shifts in diffraction orders.
  • Optimization of grating parameters based on energetic and phase analyses.
  • Derivation of phase imbalance and amplification coefficients using Heydemann elliptic correction.

Main Results:

  • The study confirms that reference diffraction grating parameters dictate the feasibility of quadrature modulation.
  • Optimization criteria were formulated based on the optical signal generation process.
  • Phase imbalance was quantified using ellipticity correction, dependent on parameter uncertainties.

Conclusions:

  • Optimizing diffraction grating parameters, considering phase relationships alongside energy, is crucial for stable quadrature signals in linear displacement sensors.
  • The proposed method enhances the accuracy and reliability of interferential displacement measurements.
  • Understanding the impact of parameter uncertainties on phase imbalance is key for robust sensor design.