Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 13,
  • Issue 1,
  • pp. 010401-010401
  • (2015)

Optical fiber acoustic sensing multiplexing system based on TDM/SFDM

Not Accessible

Your library or personal account may give you access

Abstract

We propose a system of time-division multiplexing (TDM) and spatial frequency-division multiplexing (SFDM). Extrinsic Fabry-Perot interferometric sensors are applied to detect weak acoustic signals. The broadband source is employed, the light from it is modulated by a pulse signal sequence and is efficiently amplified by semiconductor optical amplifiers. Experimental results show that the equivalent noise pressure spectrum level is -97.2 dB re 1 rad/vHz below 1250 Hz, and the cross talk between two sensors in one TDM channel is -32.7 dB with a cavity length difference of 60 µm. The number of sensors in this multiplexing system can theoretically reach 160.

© 2015 Chinese Optics Letters

PDF Article
More Like This
Diaphragm-based optical fiber sensor array for multipoint acoustic detection

Jingyi Wang, Fan Ai, Qizhen Sun, Tao Liu, Hao Li, Zhijun Yan, and Deming Liu
Opt. Express 26(19) 25293-25304 (2018)

Sensitivity enhanced fiber optic hydrophone based on an extrinsic Fabry-Perot interferometer for low-frequency underwater acoustic sensing

Wanze Xiong, Qian Shu, Ping Lu, Wanjin Zhang, Zhiyuan Qu, Deming Liu, and Jiangshan Zhang
Opt. Express 30(6) 9307-9320 (2022)

Quasi-distributed fiber-optic acoustic sensing system based on pulse compression technique and phase-noise compensation

Mengshi Wu, Xinyu Fan, Qingwen Liu, and Zuyuan He
Opt. Lett. 44(24) 5969-5972 (2019)

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.