Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Intensity discrimination with twisted birefringent optical fibers

Open Access Open Access

Abstract

Intensity-dependent polarization effects in birefringent optical fibers have been used by several workers to achieve pulse shaping and intensity discrimination. In that application, the low intensity parts of a pulse transmitted through the fiber are blocked by an output polarizer while the high intensity part, which undergoes nonlinear polarization rotation, is transmitted. We recently reported a theory of this effect which shows that for fibers with well-defined principal axes, nonlinear polarization changes cannot occur if the input polarization is along a principal axis and the intensity is below the critical value for the fast axis instability. Experimentally, it has been noted that the virtually unavoidable twists present in any real fiber play an important role in determining the output polarization state. In this paper we present a theory of intensity-dependent polarization changes in twisted birefringent fibers. The theory takes into account the twist-induced circular birefringence and shows that twist can enhance the nonlinear transmission of fiber-optic devices that rely on nonlinear birefringence.

© 1986 Optical Society of America

PDF Article
More Like This
Ellipse rotation and polarization instabilities in birefringent optical fibers

HERBERT G. WINFUL
TuL24 Optical Fiber Communication Conference (OFC) 1986

Polarization Instability in a Twisted Optical Fiber

Sandra F. Feldman, Doreen A. Weinberger, and Herbert G. Winful
DMMPCPS471 Nonlinear Dynamics in Optical Systems (NLDOS) 1990

Optical intensity discriminator based on strongly enhanced ellipse rotation in circular-birefringence fiber

Takuo Tanemura and Kazuro Kikuchi
OThA5 Optical Fiber Communication Conference (OFC) 2006

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.