Solving self-mixing equations for arbitrary feedback levels: a concise algorithm

Kliese, Russel, Taimre, Thomas, Bakar, A. Ashrif A., Lim, Yah Leng, Bertling, Karl, Nikolić, Milan, Perchoux, Julien, Bosch, Thierry and Rakić, Aleksandar D. (2014) Solving self-mixing equations for arbitrary feedback levels: a concise algorithm. Applied Optics, 53 17: 3723-3736. doi:10.1364/AO.53.003723


Author Kliese, Russel
Taimre, Thomas
Bakar, A. Ashrif A.
Lim, Yah Leng
Bertling, Karl
Nikolić, Milan
Perchoux, Julien
Bosch, Thierry
Rakić, Aleksandar D.
Title Solving self-mixing equations for arbitrary feedback levels: a concise algorithm
Journal name Applied Optics   Check publisher's open access policy
ISSN 1559-128X
2155-3165
Publication date 2014-06-10
Year available 2014
Sub-type Article (original research)
DOI 10.1364/AO.53.003723
Open Access Status
Volume 53
Issue 17
Start page 3723
End page 3736
Total pages 14
Place of publication Washington, DC, United States
Publisher Optical Society of America
Language eng
Abstract Self-mixing laser sensors show promise for a wide range of sensing applications, including displacement, velocimetry, and fluid flow measurements. Several techniques have been developed to simulate self-mixing signals; however, a complete and succinct process for synthesizing self-mixing signals has so far been absent in the open literature. This article provides a systematic numerical approach for the analysis of self-mixing sensors using the steady-state solution to the Lang and Kobayashi model. Examples are given to show how this method can be used to synthesize self-mixing signals for arbitrary feedback levels and for displacement, distance, and velocity measurement. We examine these applications with a deterministic stimulus and discuss the velocity measurement of a rough surface, which necessitates the inclusion of a random stimulus. (C) 2014 Optical Society of America
Formatted abstract
Self-mixing laser sensors show promise for a wide range of sensing applications, including displacement, velocimetry, and fluid flow measurements. Several techniques have been developed to simulate self-mixing signals; however, a complete and succinct process for synthesizing self-mixing signals has so far been absent in the open literature. This article provides a systematic numerical approach for the analysis of self-mixing sensors using the steady-state solution to the Lang and Kobayashi model. Examples are given to show how this method can be used to synthesize self-mixing signals for arbitrary feedback levels and for displacement, distance, and velocity measurement. We examine these applications with a deterministic stimulus and discuss the velocity measurement of a rough surface, which necessitates the inclusion of a random stimulus.
Keyword Optics
Optics
OPTICS
Q-Index Code C1
Q-Index Status Confirmed Code
Grant ID DP 120 103703
BM1205
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mathematics and Physics
Official 2015 Collection
School of Information Technology and Electrical Engineering Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 14 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 13 times in Scopus Article | Citations
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Created: Sat, 07 Jun 2014, 20:09:44 EST by Karl Bertling on behalf of School of Mathematics & Physics