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Proceedings Paper

Experimental verification of a model describing the intensity distribution from a single mode optical fiber
Author(s): Erik A. Moro; Michael D. Todd; Anthony D. Puckett
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Paper Abstract

The intensity distribution of a transmission from a single mode optical fiber is often approximated using a Gaussian-shaped curve. While this approximation is useful for some applications such as fiber alignment, it does not accurately describe transmission behavior off the axis of propagation. In this paper, another model is presented, which describes the intensity distribution of the transmission from a single mode optical fiber. A simple experimental setup is used to verify the model's accuracy, and agreement between model and experiment is established both on and off the axis of propagation. Displacement sensor designs based on the extrinsic optical lever architecture are presented. The behavior of the transmission off the axis of propagation dictates the performance of sensor architectures where large lateral offsets (25-1500 μm) exist between transmitting and receiving fibers. The practical implications of modeling accuracy over this lateral offset region are discussed as they relate to the development of high-performance intensity modulated optical displacement sensors. In particular, the sensitivity, linearity, resolution, and displacement range of a sensor are functions of the relative positioning of the sensor's transmitting and receiving fibers. Sensor architectures with high combinations of sensitivity and displacement range are discussed. It is concluded that the utility of the accurate model is in its predicative capability and that this research could lead to an improved methodology for high-performance sensor design.

Paper Details

Date Published: 15 April 2011
PDF: 7 pages
Proc. SPIE 7982, Smart Sensor Phenomena, Technology, Networks, and Systems 2011, 79820S (15 April 2011); doi: 10.1117/12.879066
Show Author Affiliations
Erik A. Moro, Univ. of California, San Diego (United States)
Los Alamos National Lab. (United States)
Michael D. Todd, Univ. of California, San Diego (United States)
Anthony D. Puckett, Los Alamos National Lab. (United States)


Published in SPIE Proceedings Vol. 7982:
Smart Sensor Phenomena, Technology, Networks, and Systems 2011
Wolfgang Ecke; Kara J. Peters; Theodore E. Matikas, Editor(s)

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