Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 41,
  • Issue 1,
  • pp. 341-346
  • (2023)

Brillouin Optical Correlation Domain Analysis With Over 2.5 Million Resolution Points Based on Raman Amplification and Injection Locking

Not Accessible

Your library or personal account may give you access

Abstract

We propose and experimentally demonstrate a long-range Brillouin optical correlation domain analysis (BOCDA) system based on distributed Raman amplification and injection-locking to reach over 2.6 million resolving points. The optimization of key parameters in the Raman amplification, time domain data processing, differential measurement scheme, and injection-locking are applied to achieve a spatial resolution of 2 cm over a 50 km sensing fiber. Our result corresponds to at least twice improvement compared to former records, and the best one among distributed Brillouin sensors in terms of the number of resolving points.

PDF Article
More Like This
Brillouin optical correlation domain analysis with more than 1 million effective sensing points based on differential measurement

Yong Hyun Kim, Kwanil Lee, and Kwang Yong Song
Opt. Express 23(26) 33241-33248 (2015)

Differential measurement scheme for Brillouin Optical Correlation Domain Analysis

Ji Ho Jeong, Kwanil Lee, Kwang Yong Song, Je-Myung Jeong, and Sang Bae Lee
Opt. Express 20(24) 27094-27101 (2012)

Variable-frequency lock-in detection for the suppression of beat noise in Brillouin optical correlation domain analysis

Ji Ho Jeong, Kwanil Lee, Kwang Yong Song, Je-Myung Jeong, and Sang Bae Lee
Opt. Express 19(19) 18721-18728 (2011)

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.