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 Th17
  • https://doi.org/10.1364/OFS.1992.Th17

An Improved TDM System Applied To The Multiplexing Of Silicon Microresonator Sensors Exhibiting Identical Characteristics

Not Accessible

Your library or personal account may give you access

Abstract

There has been much interest in the use of mechanically resonant structures as a means of measuring environmental parameters.1 The greatest advantage of such resonator sensors is that the value of the measurand of interest is obtained by the measurement of resonant frequency of the sensor. This measurement for practical purposes is insensitive to light intensity transmission fluctuations, therefore free from corruption compared with conventional analog modulation. The measurement may also be made with extremely high accuracy. Additionally a frequency signal of the type obtained from the mechanical resonator may be transmitted along virtually any linear medium transmission line without distortion. In recent years much effort has been directed towards realizing a new class of silicon microresonator sensors for pressure, temperature, acceleration, vibration, mass flow.

© 1992 Optical Society of America

PDF Article
More Like This
Suppression of Rayleigh Scattering Noise in a TDM Multiplexed Interferometric Sensor System

Erlend Rønnekleiv, Ole Henrik Waagaard, Dag Thingbø, and Stig Forbord
OMT4 Optical Fiber Communication Conference (OFC) 2008

1 kW Pulsed Fibre Laser For Time Division Multiplexed Sensor Systems

P.R. Morkel, K.P. Jedrzewski, E.R. Taylor, and D.N. Payne
W11 Optical Fiber Sensors (OFS) 1992

A Differential Measurement Technique For Optical Fibre Sensors Using Intensity Modulation

R.I. MacDonald and R. Nychka
Th33 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.