Photonics (Aug 2023)

Denoising of Laser Self-Mixing Interference by Improved Wavelet Threshold for High Performance of Displacement Reconstruction

  • Hui Liu,
  • Yaqiang You,
  • Sijia Li,
  • Dan He,
  • Jian Sun,
  • Jingwei Wang,
  • Dong Hou

DOI
https://doi.org/10.3390/photonics10080943
Journal volume & issue
Vol. 10, no. 8
p. 943

Abstract

Read online

This article proposes an improved wavelet threshold denoising for laser self-mixing interference signals. The improved wavelet threshold function exhibits smoothness and continuity near the threshold. By replacing hard or soft wavelet threshold with the improved wavelet threshold, it can eliminate the generation of fake self-mixing interference peaks due to local oscillation induced by hard wavelet threshold, as well as the loss of self-mixing interference peaks due to over-smoothness induced by the soft wavelet threshold. Compared with hard and soft wavelet threshold denoising, theoretical simulations and experimental results demonstrate that the displacement of vibrations are well reconstructed based on the improved wavelet threshold denoising.

Keywords