Quasi-distributed fiber sensing via perfect periodic Legendre codes

N. Arbel, L. Shiloh, N. Levanon, A. Eyal

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

Abstract

Long-range Rayleigh-based Distributed Acoustic Sensing (DAS) systems are often limited in their sensitivity and bandwidth. The former limitation is a result of the low backscattered power and poor dynamic-strain to optical-phase transduction efficiency. The latter constraint results from the trade-off between range and scan-rate which limits the sampling interval to the longest delay in the sensing fiber. Quasi-DAS (Q-DAS) can yield enhanced sensitivity but may still suffer from low backscattered power and low scan-rate for longhaul, many-sensor, systems. In this work we study the use of Perfect Periodic Correlation codes for interrogating a long-haul Q-DAS system. It is shown that judicious choice of the code parameters allows order of magnitude increase in detection bandwidths and in the power reflected from each sensor.

Original languageEnglish
Title of host publicationOptical Fiber Sensors, OFS 2020
PublisherOptica Publishing Group (formerly OSA)
ISBN (Electronic)9781557523075
StatePublished - 2020
Event27th International Conference on Optical Fiber Sensors, OFS 2020 - Washington, United States
Duration: 8 Jun 202012 Jun 2020

Publication series

NameOptics InfoBase Conference Papers

Conference

Conference27th International Conference on Optical Fiber Sensors, OFS 2020
Country/TerritoryUnited States
CityWashington
Period8/06/2012/06/20

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