Temperature resolution and spatial resolution improvement of bocdr-based DTS system using particle swarm optimization algorithm

Abstract

Temperature resolution and spatial resolution are major performance metrics in any distributed temperature sensing (DTS) system. In this paper, we have presented a detailed analysis on the performance of a Brillouin optical correlation domain reflectometry (BOCDR)-based DTS (BOCDR-DTS) system. Particle swarm optimization (PSO) evolutionary algorithm is being used in this paper to improve the performance of the proposed BOCDR-DTS system. Using this optimization algorithm, we minimized the Brillouin frequency shift (BFS) error in sensing system. As a consequence of this, the achieved temperature and spatial resolution are ~0.839 �C and ~43 cm, respectively. The results were simulated using MATLAB version 15.0. � Springer Nature Singapore Pte Ltd. 2019