Brillouin time-domain and correlation-domain analyses combined

Yair Antman, David Elooz, Raphael Cohen, Yosef London, Avi Zadok

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


A distributed fiber sensor for temperature and strain with an increased number of high-resolution points and a reduced acquisition time is presented, using a combination of Brillouin optical time domain analysis (B-OTDA) and Brillouin optical correlation domain analysis (B-OCDA) techniques. Both Brillouin pump and signal waves are co-modulated by a high-rate binary phase sequence, which restricts the Brillouin interaction to a discrete set of narrow correlation peaks according to the BOCDA principle. In addition, amplitude pulse modulation is overlaid on the pump wave. With careful choice of the pump pulse duration, the SBS amplification taking place at multiple correlation peaks can be temporally resolved in measurements of the output signal power, much like in a B-OTDA. Using the proposed method, Brillouin gain spectra are acquired over a 4 km-long fiber with 2 cm resolution. 99.5% of the potential 200,000 resolution points are successfully mapped, using only 499 spatial scans of the correlation peaks positions.

Original languageEnglish
Title of host publicationIEEE SENSORS 2014, Proceedings
EditorsFrancisco J. Arregui
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9781479901616
StatePublished - 12 Dec 2014
Event13th IEEE SENSORS Conference, SENSORS 2014 - Valencia, Spain
Duration: 2 Nov 20145 Nov 2014

Publication series

NameProceedings of IEEE Sensors
ISSN (Print)1930-0395
ISSN (Electronic)2168-9229


Conference13th IEEE SENSORS Conference, SENSORS 2014

Bibliographical note

Publisher Copyright:
© 2014 IEEE.


  • All-optical signal processing
  • Brillouin analysis
  • Distributed sensors
  • Fiber-optic sensors
  • Pulse compression


Dive into the research topics of 'Brillouin time-domain and correlation-domain analyses combined'. Together they form a unique fingerprint.

Cite this