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Related Concept Videos

Electronic Distance Measuring Instruments01:30

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Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over...
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A Micro Absolute Distance Measurement Method Based on Dispersion Compensated Polarized Low-Coherence Interferometry.

Xun Sun1,2,3,4, Kunpeng Feng1,2, Jiwen Cui3,4

  • 1Institute of Optical Communication Engineering, College of Engineering and Applied Sciences, Nanjing University, Nanjing 210093, China.

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|February 26, 2020
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Summary

This study introduces a novel polarized low-coherence interferometry (PLCI) method for micro absolute distance measurement (MADM). The technique achieves high accuracy and fast processing, surpassing conventional methods.

Keywords:
Fabry-Perot sensors.low-coherence interferometrymicro absolute distance measurement

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Area of Science:

  • Optics and Photonics
  • Metrology
  • Interferometry

Background:

  • Micro absolute distance measurement (MADM) is crucial for industrial and military applications.
  • Existing methods face challenges in achieving both high accuracy and frequency response.
  • Polarized low-coherence interferometry (PLCI) offers potential for advanced measurement solutions.

Purpose of the Study:

  • To propose and validate a novel PLCI-based method for high-accuracy, high-frequency MADM.
  • To develop a robust dispersion compensation technique independent of a priori models.
  • To enhance measurement accuracy and avoid errors compared to conventional approaches.

Main Methods:

  • Utilizing a polarized low-coherence interferometry (PLCI) setup for MADM.
  • Establishing and verifying a linear relationship between envelope center and m-order fringe peaks.
  • Implementing dispersion compensation via fringe peak estimation and polynomial fitting.
  • Estimating and locating the zero-order PLCIF center for displacement demodulation.

Main Results:

  • Achieved measurement accuracy exceeding 19.51 nm.
  • Demonstrated resolution better than 2 nm.
  • Reached a processing data rate of up to 35 kHz.
  • Successfully avoided jump errors common in conventional methods.

Conclusions:

  • The proposed PLCI method provides a robust and accurate solution for MADM.
  • Dispersion compensation through polynomial fitting enhances reliability and eliminates model dependence.
  • The method offers significant improvements in accuracy, resolution, and speed over traditional techniques.