Paper
11 October 2010 Eliminating noises contained in sensing signals from a self-mixing laser diode
Yanguang Yu, Tiemin Mei, Jiangtao Xi, Joe F. Chicharo, Huiying Ye, Zhao Wang
Author Affiliations +
Abstract
The paper studied the noise elimination methods for the signals observed from a self-mixing-laser diode (SM-LD) based sensing system. The core part of the sensing system consists of a LD, a lens and an external vibrating target. The proposed noise elimination methods are applied on both the simulated and experimental sensing signals. The results presented in the paper show the noise contained in the sensing signals can be effectively eliminated. As a consequence, the vibration trace of the target can be reconstructed with high accuracy using this sensing system.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yanguang Yu, Tiemin Mei, Jiangtao Xi, Joe F. Chicharo, Huiying Ye, and Zhao Wang "Eliminating noises contained in sensing signals from a self-mixing laser diode", Proc. SPIE 7656, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 76560E (11 October 2010); https://doi.org/10.1117/12.865679
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Interference (communication)

Sensing systems

Reconstruction algorithms

Digital filtering

Semiconductor lasers

Electronic filtering

Image segmentation

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