@inproceedings{9e22a5ec5e0548838f3c972aa8508b05,
title = "Quasi-distributed fiber sensing via perfect periodic Legendre codes",
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.",
author = "N. Arbel and L. Shiloh and N. Levanon and A. Eyal",
note = "Publisher Copyright: {\textcopyright} 2021 The Author(s).; 27th International Conference on Optical Fiber Sensors, OFS 2020 ; Conference date: 08-06-2020 Through 12-06-2020",
year = "2020",
language = "الإنجليزيّة",
series = "Optics InfoBase Conference Papers",
publisher = "Optica Publishing Group (formerly OSA)",
booktitle = "Optical Fiber Sensors, OFS 2020",
}