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

A fiber-optic modulator with parallel modulation channels

Not Accessible

Your library or personal account may give you access

Abstract

This paper discusses the layout of an electrooptic modulator that makes it possible to overcome the limitation imposed by the entire set of control-channel parameters. The main elements of the modulator are electrically controllable fiber-optic Bragg gratings. The proposed layout makes it possible to modulate the optical radiation at a working frequency twice as great as that of other modulators that use similar electronic control circuits. The modulation characteristics of such a modulator are calculated, its operating regimes are considered, and the possibilities of increasing the response rate further by optimizing the diffraction-grating parameters are estimated. The device is compact and is well matched with fiber-optic lines. © 2004 Optical Society of America

PDF Article
More Like This
Multi-channel parallel ultrasound detection based on a photothermal tunable fiber optic sensor array

Liuyang Yang, Chenhao Dai, Anqi Wang, Geng Chen, Dongchen Xu, Yanpeng Li, Zhijun Yan, and Qizhen Sun
Opt. Lett. 47(15) 3700-3703 (2022)

Nonlinear intermodulation distortion suppression in coherent analog fiber optic link using electro-optic polymeric dual parallel Mach-Zehnder modulator

Seong-Ku Kim, Wei Liu, Qibing Pei, Larry R. Dalton, and Harold R. Fetterman
Opt. Express 19(8) 7865-7871 (2011)

Flexible optical fiber channel modeling based on a neural network module

Rui Jiang, Zhi Wang, Tao Jia, Ziling Fu, Chao Shang, and Chongqing Wu
Opt. Lett. 48(16) 4332-4335 (2023)

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.