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

Nonlinear Polarisation Effects in Self-Switching Nonlinear Fibre Loop Mirror Devices

Not Accessible

Your library or personal account may give you access

Abstract

The nonlinear fibre loop mirror (NOLM) has been shown to be a versatile device for all-optical switching [1], ultrafast multiplexing/demultiplexing [2], logic applications [3], pulse shaping [4] and passive mode-locking for fibre lasers [5]. Initially, the NOLM devices were fabricated using polarisation-maintaining fibres due to concerns about polarisation stability. This can be particularly significant in self switching devices due to differential nonlinear polarisation rotation arising from the unequal powers in the counter-propagating signals. However, the use of polarisation-maintaining fibres is not attractive as coupler fabrication is difficult and a higher loss results when splicing to standard fibres. Recently, stable operation of a dual-wavelength NOLM ultrafast multiplexer/demultiplexer has been demonstrated using 6.4 km long standard telecommunication fibre [6]. In this paper we present experimental results on nonlinear polarisation effects in a self-switching NOLM fabricated from a standard telecommunication fibre.

© 1991 Optical Society of America

PDF Article
More Like This
A Digital Nonlinear Optical Loop Mirror Switch

N. Finlayson, B.K. Nayar, and N. J. Doran
PD10 Nonlinear Guided-Wave Phenomena (NP) 1991

All-Optical Switching in a Fibre Nonlinear Mach-Zehnder Interferometer

B. K. Nayar, N. Finlayson, N.J. Doran, S.T. Davey, D.L. Williams, and J.W. Arkwright
FB1 Photonic Switching (PS) 1991

Bandpass switching based on a nonlinear optical loop mirror and an in-fibre grating reflector

P. N. Kean, D. A. Pattison, W. Forysiak, I. Bennion, and N. J. Doran
CFG1 The European Conference on Lasers and Electro-Optics (CLEO/Europe) 1994

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.