Open AccessDynamic range enhancement of OTDR using lifting wavelet transform‐modified particle swarm optimisation scheme
Author(s) -
Tangudu Ramji,
Sahu Prasant Kumar
Publication year - 2019
Publication title -
iet optoelectronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.379
H-Index - 42
eISSN - 1751-8776
pISSN - 1751-8768
DOI - 10.1049/iet-opt.2018.5163
Subject(s) - optical time domain reflectometer , reflectometry , particle swarm optimization , dynamic range , wavelet , wavelet transform , range (aeronautics) , lifting scheme , computer science , electronic engineering , time domain , algorithm , optical fiber , discrete wavelet transform , engineering , fiber optic sensor , artificial intelligence , telecommunications , computer vision , fiber optic splitter , aerospace engineering
The optical time domain reflectometry (OTDR) is the only investigation tool for the optical fibre continuity measurement and is capable of verifying inline splices and locating fibre faults. As per the literature review, most of the distributed fibre sensors are designed using OTDR principle. Dynamic range plays a major role in such instruments. Dynamic range enhancement of OTDR is proposed using the lifting wavelet transform (LWT)‐modified particle swarm optimisation (MPSO) scheme. This scheme enables us to design customised lifting wavelet filters to improve the signal‐to‐noise ratio which in turn improvises the dynamic range. This study proposes and demonstrates the application of LWT along with the MPSO evolutionary algorithm to obtain optimum threshold, in order to mitigate the noisy lifting wavelet coefficients effectively. The proposed scheme is employed for OTDR measurement up to 50 km (silica optical fibre), using 10 dBm of laser input power. As compared with the conventional wavelet regularised deconvolution schemes, the authors’ proposed scheme offers a 3.42 dB enhancement in the dynamic range under a lower computational complexity requirement. The proposed study is carried out using computer simulation using MATLAB 15.0 software. The results were experimentally validated.