Paper
11 November 2010 A displacement reconstruction algorithm used for optical feedback self mixing interferometry system under different feedback levels
Yuanlong Fan, Yanguang Yu, Jiangtao Xi, Joe F. Chicharo, Huiying Ye
Author Affiliations +
Abstract
Displacement information of a moving target can be detected using an optical feedback self-mixing interferometry (OFSMI) system. A sensing signal observed from the OFSMI system is called self-mixing signal (SMS). The paper studies the waveform features of the SMSs and proposes an algorithm for reconstructing the displacement of a moving target. The reconstruction accuracy of the algorithm mainly depends on the locating accuracy for those characteristic points on a SMS. A set of rules for identifying those characteristic points are described in the paper. The proposed algorithm is verified by simulation signals firstly, and then applied on extensive SMSs which are obtained from the experimental set-up. The results show that the displacement of the external moving target can be reconstructed under different feedback levels.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuanlong Fan, Yanguang Yu, Jiangtao Xi, Joe F. Chicharo, and Huiying Ye "A displacement reconstruction algorithm used for optical feedback self mixing interferometry system under different feedback levels", Proc. SPIE 7855, Optical Metrology and Inspection for Industrial Applications, 78550L (11 November 2010); https://doi.org/10.1117/12.870051
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Reconstruction algorithms

Interferometry

Detection and tracking algorithms

Semiconductor lasers

Computer simulations

Target detection

Modulation

RELATED CONTENT

Compressive full-waveform LIDAR with low-cost sensor
Proceedings of SPIE (October 31 2016)
Compressive full waveform lidar
Proceedings of SPIE (May 05 2017)
Multirobot learning in an inherently cooperative task
Proceedings of SPIE (September 20 2001)
An estimation method for feedback level factor C of a...
Proceedings of SPIE (November 09 2010)
FMCW reflectometric optical fiber strain sensor
Proceedings of SPIE (June 13 2001)
Real-time self-mixing sensor for vibration measurements
Proceedings of SPIE (November 19 2012)

Back to Top