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

Frequency stabilization by dithering bias current of laser diodes for carrier-distributed WDM-based access networks

Not Accessible

Your library or personal account may give you access

Abstract

We indicate that the frequency drift of WDM light sources for uplink transmission in carrier-distributed WDM-based access networks severely impacts the loss budget. To prevent this, we propose a multifrequency monitoring-stabilization technique that simplifies the configuration of WDM light sources. To achieve more precise frequency stabilization the bias current used to drive each laser diode is dithered. The key techniques are adding an offset bias to the detected error signal and offsetting the center frequency of the array waveguide grating port against the ITU-T grid frequency to achieve effective frequency stabilization. Experiments show that the relative frequency deviation of +/-25 GHz can be suppressed to better than +/-2.5 GHz.

© 2009 Optical Society of America

PDF Article
More Like This
Remote Frequency Stabilization Technique by Using MZI-AWG and Supervisory Frame Transfer in Coexistence-Type WDM-PON

Masamichi Fujiwara, Tetsuya Suzuki, Hiro Suzuki, Takuya Tanaka, Naoki Ooba, Hideaki Kimura, and Kiyomi Kumozaki
J. Opt. Commun. Netw. 1(6) 571-579 (2009)

1Gbps full-duplex links for ultra-dense-WDM 6.25GHz frequency slots in optical metro-access networks

Jose A. Altabas, David Izquierdo, Jose A. Lazaro, Adolfo Lerin, Felix Sotelo, and Ignacio Garces
Opt. Express 24(1) 555-565 (2016)

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.