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Micro/Nano-scale Strain Distribution Measurement from Sampling Moiré Fringes

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Normalization-free displacement reconstruction method based on fringe scaling.

Hui-Song Hong, Chol-Hyon Kim, Jin-Hyok Kim

|March 17, 2022

Summary

This summary is machine-generated.

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This study introduces a simple, high-resolution method for displacement sensing using self-mixing interferometry (SMI). The technique avoids complex parameter estimation and signal normalization, enhancing real-time performance and reducing costs for displacement sensors.

Area of Science:

Optics and Photonics
Metrology
Sensor Technology

Background:

Self-mixing interferometry (SMI) is a technique for displacement sensing.
Current methods for displacement reconstruction in SMI are time-consuming and complex due to parameter estimation and signal normalization.
These limitations hinder the real-time and low-cost application of SMI displacement sensors.

Purpose of the Study:

To present a simplified method for displacement retrieval using self-mixing signals (SMSs).
To overcome the challenges of parameter estimation and normalization in SMI.
To improve the real-time capability, reliability, and resolution of SMI displacement sensors.

Main Methods:

A novel displacement retrieval method based on individual fringe scaling in SMSs.

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Last Updated: Sep 30, 2025

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Published on: May 23, 2017

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

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Published on: December 3, 2013

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The method is inherently robust against speckle noise.

Eliminates the need for complex parameter estimation and SMS normalization.

Main Results:

Achieved high-resolution displacement measurement.
Significantly simplified the displacement reconstruction process.
Demonstrated a speckle noise-proof approach.

Conclusions:

The proposed simple method offers a significant advancement for SMI displacement sensors.
It contributes to lowering sensor costs and enhancing performance.
Enables more reliable and higher-resolution real-time displacement measurements.