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

High-Speed Δβ-Reversal Directional Coupler Switch

Not Accessible

Your library or personal account may give you access

Abstract

Waveguide electro-optic directional coupler crosspoints find use in many applications including modulators and switches for optical fiber communication.[1] Recently there has been significant progress in titanium-diffused lithium niobate (Ti:LiNbO3) devices in both of these areas.[2],[3] To date, however, the emphasis of the device performance for modulation has been speed, drive voltage, and insertion loss; whereas, for switching it has been level of integration crosstalk, and insertion loss. Presently, for example, the switch arrays can be reconfigured only relatively slowly (0.1-1 GHz) and are appropriate for space division switching applications. However, optical switches capable of low crosstalk at reconfiguration rates above 1 GHz are important for time-division switching applications such as optical time-division multiplexing (OTDM).[4] The requirements for use in modulation and switching are, in fact, not necessarily conflicting. In this paper we describe a directional coupler crosspoint structure designed specifically for switching at multi-gigahertz reconfiguration rates with low ( < -20 dB ) crosstalk in both switch states.

© 1987 Optical Society of America

PDF Article
More Like This
Integrated High-Speed Ti:LiNbO3 Δβ-Reversal Switching Circuits

J.J. Veselka, D.A. Herr, T.O. Murphy, L.L. Buhl, and S.K. Korotky
WD2 Integrated and Guided Wave Optics (IGWO) 1988

Switched Directional Coupler with Stepped Δβ-Reversal

H. Kogelnik and R. V. Schmidt
MD5 Integrated Optics (IOPT) 1976

A synthesized digital switch using a 1x2 directional coupler with asymmetric Δβ phase reversal electrode

Suwat Thaniyavarn
TuC6 Integrated and Guided Wave Optics (IGWO) 1988

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.