Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Optical Fiber Sensors
  • Collected Papers of the International Conferences on Optical Fiber Sensors 1983-1997 (Optica Publishing Group, 1992),
  • paper W32
  • https://doi.org/10.1364/OFS.1992.W32

Noise-Resistant Signal Processing For Electronically Scanned White-Light Interferometry

Not Accessible

Your library or personal account may give you access

Abstract

Fiber optic sensors using white-light interferometry have been developed, among others, as absolute displacement sensors1, as strain or temperature sensors2. The main advantage of white-light interferometry, which uses broad band light sources with short coherence lengths rather than monochromatic sources, is the possibility to make absolute measurements. In the same manner, a broad band source allows to measure the absolute force from the induced birefringence in an optical fiber (Fig. 1). Scanning the interferogram in space, rather than in time, by a linear photodiode array (electronically-scanned interferometer) avoids moving parts and increases the mechanical stability of the system. In this paper, we present a new signal processing method for white-light interferometry which is fast, accurate, and extremely noise resistant. Theoretical results for the expected systematic and statistical errors will be compared with experimental results.

© 1992 Optical Society of America

PDF Article
More Like This
Acoustically Scanned Delay For White-Light Interferometry

Erling Kolltveit and Kjell Bløtekjær
P29 Optical Fiber Sensors (OFS) 1992

Frequency-doubled Supercontinuum for Scanning White-light Interferometry

Piotr Ryczkowski, Goëry Genty, Anton Nolvi, Ivan Kassamakov, and Edward Hæggström
CF1B.6 CLEO: Science and Innovations (CLEO:S&I) 2012

Novel Passive Compensation Technique Applied To A White Light Interferometric System

D. Walsh and B. Culshaw
P37 Optical Fiber Sensors (OFS) 1992

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.