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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 53, Iss. 17 — Jun. 10, 2014
  • pp: 3723–3736

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

Russell Kliese, Thomas Taimre, A. Ashrif A. Bakar, Yah Leng Lim, Karl Bertling, Milan Nikolić, Julien Perchoux, Thierry Bosch, and Aleksandar D. Rakić  »View Author Affiliations


Applied Optics, Vol. 53, Issue 17, pp. 3723-3736 (2014)
http://dx.doi.org/10.1364/AO.53.003723


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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.

© 2014 Optical Society of America

OCIS Codes
(140.3430) Lasers and laser optics : Laser theory
(280.3420) Remote sensing and sensors : Laser sensors

ToC Category:
Remote Sensing and Sensors

History
Original Manuscript: November 26, 2013
Revised Manuscript: April 28, 2014
Manuscript Accepted: April 28, 2014
Published: June 9, 2014

Citation
Russell Kliese, Thomas Taimre, A. Ashrif A. Bakar, Yah Leng Lim, Karl Bertling, Milan Nikolić, Julien Perchoux, Thierry Bosch, and Aleksandar D. Rakić, "Solving self-mixing equations for arbitrary feedback levels: a concise algorithm," Appl. Opt. 53, 3723-3736 (2014)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-53-17-3723


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