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|Title:||Strain resolution and spatial resolution improvement of BOCDR-based DSS system using particle swarm optimization algorithm|
|Keywords:||Brillouin frequency shift (BFS)|
Brillouin optical correlation domain reflectometry (BOCDR)
Particle swarm optimization (PSO)
Spontaneous Brillouin scattering (SpBS)
|Abstract:||This paper presents, a detailed analysis on the performance of a Brillouin optical correlation domain reflectometry (BOCDR) based distributed strain sensing (BOCDR-DSS) system. Strain resolution and spatial resolution decide the performance of BOCDR-DSS system. Particle swarm optimization (PSO) algorithm is used in this paper to enhance the above-mentioned performance of the available BOCDR-DSS system. With the help of PSO evolutionary algorithm, Brillouin frequency shift (BFS) error of the considered sensing system has been minimized. Finally, 4 m-long strained silica optical fiber (SOF) section over a 700 m fiber under test is successfully detected with ~0.0011% strain resolution and ~43 cm spatial resolution. Simulation was carried out using MATLAB version 15.0. � 2020, Springer Nature Singapore Pte Ltd.|
|Appears in Collections:||Research Publications|
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