Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 24,
  • Issue 10,
  • pp. 3835-3841
  • (2006)

The Effect of Signal-Feeder Characteristic Impedance on the Signal Injection Efficiency of Electroabsorption Modulator Integrated Lasers

Not Accessible

Your library or personal account may give you access

Abstract

The signal injection efficiency of electroabsorption modulator integrated lasers (EMLs) is improved to suit 10-Gb/s applications. For a typical EML module design with a conventionally designed 50-Ω signal feeder to meet the input return loss requirement for 10-Gb/s applications, a reduction in device capacitance of the electroabsorption modulator (EAM) section by 65% from its typical value is necessary. By optimizing the characteristic impedance of the signal feeder, the required 65% reduction in device capacitance of the EAM section is reduced to 45%, which would naturally lead to enhanced extinction ratio and optical output power. With the addition of a series 5-Ω thin-film resistor along the signal feeder, the device capacitance reduction of the EAM section is further reduced to approximately 33% of the typical value.

© 2006 IEEE

PDF Article
More Like This
Regrowth-free integration of injection locked slotted laser with an electroabsorption modulator

Niall P. Kelly, Ludovic Caro, Mohamad Dernaika, and Frank H. Peters
Opt. Express 25(4) 4054-4060 (2017)

Improvement of modulation bandwidth in electroabsorption-modulated laser by utilizing the resonance property in bonding wire

Oh Kee Kwon, Young Tak Han, Yong Soon Baek, and Yun C. Chung
Opt. Express 20(11) 11806-11812 (2012)

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.