Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 21,
  • Issue 12,
  • pp. 3379-
  • (2003)

Design and Analysis of Cylindrical Antiresonant Reflecting Optical Waveguide

Not Accessible

Your library or personal account may give you access

Abstract

A field-transfer matrix method is developed to analyze the modal characteristics of cylindrical multilayered waveguides with axis-symmetric geometry. A new design rule for cylindrical antiresonant reflecting optical waveguides (ARROWs), based on a three-step design process, is also proposed to minimize the radiation loss of the fundamental leaky mode. In addition,a simple approach is suggested to estimate the optimum core diameter of the cylindrical ARROWs for optimum radiation loss and radiation loss margin. Hence,it can be shown that an extra high index cladding layer is good enough to reduce the radiation loss as well as to maintain a reasonably high radiation loss margin in simplified ARROWs for long wavelength application.

© 2003 IEEE

PDF Article
More Like This
Design and analysis of an integrated antiresonant reflecting optical waveguide refractive-index sensor

Romeo Bernini, Stefania Campopiano, and Luigi Zeni
Appl. Opt. 41(1) 70-73 (2002)

Design and analysis of a silicon-based antiresonant reflecting optical waveguide chemical sensor

Kate A. Remley and Andreas Weisshaar
Opt. Lett. 21(16) 1241-1243 (1996)

Accurate first-order leaky-wave analysis of antiresonant reflecting optical waveguides

Meng-Huei Sheng and Hung-Wen Chang
Appl. Opt. 44(5) 751-764 (2005)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

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.