Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 22,
  • Issue 12,
  • pp. 2823-
  • (2004)

A Compact Nonlinear Equivalent Circuit Model and Parameter Extraction Method for Packaged High-Speed VCSELs

Not Accessible

Your library or personal account may give you access

Abstract

A compact nonlinear circuit model for the input of packaged high-speed vertical-cavity surface-emitting lasers (VCSELs) is presented in this paper. The model includes the thermal effects as well as the parasitics, due to the various levels of the packaging hierarchy, to ensure a realistic representation of the input of the VCSELs. The values of the model parameters are extracted from dc current-light-voltage characteristics and S_11 vector measurements using a two-step parameter extraction procedure. Extraction of the model parameters and comparison between measured and simulated results have been performed for two different commercially available VCSELs operating at 2.5 Gb/s. The achieved agreement between the measured and simulated results is very satisfactory for the dc as well for the S_11 curves in the frequency range from 3 MHz to 3 GHz.

© 2004 IEEE

PDF Article
More Like This
40.1-GHz sub-freezing 850-nm VCSEL: microwave extraction of cavity lifetimes and small-signal equivalent circuit modeling

Hao-Tien Cheng, Cheng-Han Wu, Milton Feng, and Chao-Hsin Wu
Opt. Express 31(7) 11408-11422 (2023)

Efficient and systematic parameter extraction based on rate equations by DFB equivalent circuit model

Qingan Ding, Qunying Yang, Jianyu Li, Chaoran Gu, Zhaosong Li, Xiangguan Tan, Feng Gao, Xiao Chen, and Qun Niu
Opt. Express 31(24) 40604-40619 (2023)

Particle swarm optimization-assisted approach for the extraction of VCSEL model parameters

Andrea Marchisio, Enrico Ghillino, Vittorio Curri, Andrea Carena, and Paolo Bardella
Opt. Lett. 49(1) 125-128 (2024)

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.