Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

The Noise Lower-Bound of Rayleigh-Scattering-Pattern-Based Distributed Acoustic Sensing With Coherent Detection

Not Accessible

Your library or personal account may give you access

Abstract

As a Rayleigh-scattering-pattern-based distributed sensing scheme, recently coherent optical time-domain reflectometry (COTDR) exhibits high performance in distributed acoustic sensing, particularly for those demonstrations with coherent detection. As the noise lower-bound (NLB) determines the minimal detectable strain, the dedicated study is of prime importance. Straightforwardly, key parameters like pulse width, sweeping bandwidth and signal-to-noise ratio would affect NLB, however, so far there has been no explicit expression between key parameters and NLB in the COTDR with coherent detection. This paper derives the Cramér-Rao lower bound (CRLB) of the COTDR with coherent detection, which illustrates the quantitative relationship between the minimal detectable strain and the related parameters. Besides, the method to reach the CRLB is discussed, and the experimental results exhibit good consistent to the theoretical analysis. This work gives a guidance for the sensing system design based on coherent detection COTDR.

PDF Article
More Like This
Cramer-Rao lower bound for the estimation of the degree of polarization in active coherent imagery at low photon levels

Philippe Réfrégier, Muriel Roche, and François Goudail
Opt. Lett. 31(24) 3565-3567 (2006)

Coherent-detection-based distributed acoustic impedance sensing enabled by a chirped fiber Bragg grating array

Zhou Zheng, Zhengying Li, Xuelei Fu, and Xin Gui
Photon. Res. 10(6) 1325-1331 (2022)

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.