Abstract
ϕ-OTDR perturbation detection applications demand optimal precision of the perturbation location. Strategies for improving both signal-to-noise (SNR) and precision of the perturbation location in a laboratory environment may fail when applying to a very long fiber under test (FUT) in real-field environments. With this deployment, meaningful energy points representing the response of a certain perturbation can be located at random locations of the fiber other than the original location of the perturbation. These random locations are referred to as the ghost energy points that confuse the system to mistakenly consider the location of these points as the original perturbation location. We present in this paper a novel space-time scanning (ST-scan) method that segregates the ghost energy point locations from those of the real perturbation so that the original perturbation location estimation is improved.
Highlights
Multi-event recognition applications with distributed acoustic sensing in φ-OTDR systems have gained much attention in the last decade [1,2,3]
This paper has presented the space-time scanning (ST-scan) method that can be used to detect the original location of an applied perturbation nearby a fiber under test (FUT) and determine the so-called ghost energy points that emerge in random fiber locations due to the applied perturbation, and may confuse the system when estimating the real perturbation location
Different scanning techniques like space domain scanning (S-scan) and time domain scanning (T-scan) are implemented to see the original location of perturbation and the ghost energy points
Summary
Multi-event recognition applications with distributed acoustic sensing in φ-OTDR systems have gained much attention in the last decade [1,2,3]. In a real-field environment with a very long fiber under test (FUT), one of the major concerns of any application relates to obtaining a better precision in the disturbance location estimation, which is straightforward by keeping σ very small In these applications, the distributed acoustic sensing is a second major concern which demands a large value for ρ. There are numerous advantages in finding the useful spatial locations with high energy points for σ ρ These include extracting useful data in multi-event perturbation recognition applications, obtaining the exact perturbation location, and determining the range where the ghost energy points appear within the limit of the entire length ρ. Results have shown that the ST-scan method has been proved to be useful for finding the exact location of the source causing the perturbation and determining the range of the fiber affected by this perturbation from the ghost energy points within the length ρ. The experimental setup, results, and discussion are presented, and the last section provides some final conclusions on the reported work
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