Improving the measurement performance for a self-mixing interferometry-based distance and velocity sensing system using VMD

Jialin An; Siyi An; Baisong Chen; Yuanlong Fan; Xiaopeng Shao

doi:10.1117/12.2688538

27 November 2023 Improving the measurement performance for a self-mixing interferometry-based distance and velocity sensing system using VMD

Jialin An, Siyi An, Baisong Chen, Yuanlong Fan, Xiaopeng Shao

Author Affiliations +

Proceedings Volume 12771, Advanced Sensor Systems and Applications XIII; 127711S (2023) https://doi.org/10.1117/12.2688538
Event: SPIE/COS Photonics Asia, 2023, Beijing, China

Conference Poster

Abstract

Self-mixing interferometry (SMI) is a new sensing technology. However, the Self-Mixing Signal (SMS) used for measurement is usually subject to noise or interference, resulting in poor measurement accuracy. To get around this problem, in this paper, we propose a novel method which can remove the frequency distortion and noises simultaneously using variational mode decomposition (VMD). Proper choices of the VMD parameters are made based on the characteristics of the SMSs and an effective algorithm is designed for retrieving the distance and velocity of the target simultaneously. The proposed method has been verified by both simulation and experimental data showing the measured distance and velocity are more accurate than those using filtering methods.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jialin An, Siyi An, Baisong Chen, Yuanlong Fan, and Xiaopeng Shao "Improving the measurement performance for a self-mixing interferometry-based distance and velocity sensing system using VMD", Proc. SPIE 12771, Advanced Sensor Systems and Applications XIII, 127711S (27 November 2023); https://doi.org/10.1117/12.2688538

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available