Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 11,
  • Issue 5,
  • pp. 050603-
  • (2013)

Experimental investigation on bit-rate-adaptive software synchronous optical sampling

Not Accessible

Your library or personal account may give you access

Abstract

A tunable optical rail is embedded into the cavity of a nonlinear-polarization-rotation (NPR) mode-locked fiber laser to generate a sampling pulse with different repetition frequencies and realize bit-rate-adaptive software synchronous optical sampling. Two ultrashort pulses (20.26677 and 20.22900 MHz) are derived, and a 100-MHz data signal is sampled twice with these pulses based on sum-frequency generation (SFG) in periodically poled lithium niobate (PPLN). The eye diagram is successfully recovered, and an estimated bit rate of 102.22 MHz is derived. This method is feasible for bit rates ranging from 200 MHz to 1 GHz, with <3% relative error.

© 2013 Chinese Optics Letters

PDF Article
More Like This
Single-PPLN-based simultaneous half-adder, half-subtracter, and OR logic gate: proposal and simulation

Jian Wang, Junqiang Sun, and Qizhen Sun
Opt. Express 15(4) 1690-1699 (2007)

Experimental investigation of parametric transfer in synchronously pumped optical parametric oscillators

Hazel S. S. Hung, Jerry Prawiharjo, Nikita K. Daga, David C. Hanna, and David P. Shepherd
J. Opt. Soc. Am. B 24(12) 2998-3006 (2007)

Experimental Validation of Time-Synchronized Operations for Software-Defined Elastic Optical Networks

Anderson Bravalheri, Miquel Garrich Alabarce, Abubakar Siddique Muqaddas, Paolo Giaccone, and Andrea Bianco
J. Opt. Commun. Netw. 10(1) A51-A59 (2018)

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.