Distributed optical fiber sensing system performance improvement using signal processing techniques

Abstract

Distributed optical fiber sensing (DOFS) system plays a major role in modern day�s applications such as in biomedical engineering, structural health monitoring, high power cable monitoring, fire detection, defense and military, and aviation industries. Brillouin optical time-domain reflectometry-based distributed temperature sensing (BOTDR-DTS) system is a type of DOFS system and highly useful for the above identified applications. In order to improve the performance of BOTDR-based DTS system, we have proposed two different signal processing techniques, such as empirical mode decomposition (EMD) and lifting wavelet transform-optimum modified differential threshold (LWT-OMDT). By these proposed signal processing techniques, we have achieved an average temperature resolution of ~1.14��C and ~ 0.80��C, respectively, over a sensing range of 50�km for an input optical launch power of 10 mW. The results are simulated using MATLAB 15.0 platform. � Springer Nature Singapore Pte Ltd. 2020.