READ ME File For "Numerical Modelling of a Distributed Acoustic Sensor Based on Ultra-Low Loss-Enhanced Backscattering Fibers"
Dataset DOI: 10.5258/SOTON/D1883

Author: Lieke van Putten, James Snook, Ali Masoudi, Gilberto Brambilla, University of Southampton

This dataset supports the publication:

van Putten LD, Masoudi A, Snook J, Brambilla G. Numerical Modelling of a Distributed Acoustic Sensor Based on Ultra-Low Loss-Enhanced Backscattering Fibers. Sensors. 2021; 21(20):6869. https://doi.org/10.3390/s21206869


Description:
The mat files contain the data for the graphs shown in this paper.

The figures are as follows:

Fig. 2 Example of scatter points along a standard single-mode fiber (SMF) and along an Ultralow loss Enhanced backscattered (ULEB) fibre. 

Fig. 3 FFT of signal measured in 3 different systems with different levels of laser phase noise corresponding to 0.0025 pm/s 0.25 pm/s and 25 pm/s wavelength drift.

Fig. 4 (left) FFT of signal in an ideal DAS system, none-ideal system interrogating a standard fiber, and none-ideal system interrogating a ULEB fibre showing the difference in SNR. 

Fig. 4 (right) Time-domain signal showing the difference in the measurement accuracy between an SMF (blue curve) and a ULEB fibre (red curve).

Fig. 5 (left)  Measured strain compared to input strain showing the linearity of the DAS system for SMF and ULEB fibre.

Fig. 5 (right) Diagram showing the difference between the input strain and measurements for SMF and ULEB fibre.

Fig. 6 (left) FFT of the signal for two ULEB fibres, one with a reflectivity of 50 and the other with 150. 

Fig. 6 (right) SNR of the simulation results for 9 different reflectivity peaks from x1 enhanced reflectivity (i.e. no enhacnement) to x250 enhancement.

Fig. 7 FFT of the signal when the vibration is on and off the enhanced reflectivity peak.

Geographic location of data collection: University of Southampton, U.K.


Related projects:
Royal Academy of Engineering (PoC1920\21, RF1415\14\6); 
Royal Society (CHL/R1/180350);
Natural Environment Research Council (NE/S012877/1).

Data collected 2021-1-1 to 2021-5-31

Dataset available under a CC BY 4.0 licence


Publisher: University of Southampton, U.K.


Date: July 2021