access icon free Dynamic range enhancement of OTDR using lifting wavelet transform-modified particle swarm optimisation scheme

© The Institution of Engineering and Technology
Received 07/12/2018, Accepted 04/07/2019, Revised 16/05/2019, Published 05/07/2019

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.

Inspec keywords: computational complexity; fibre optic sensors; evolutionary computation; optical fibre filters; particle swarm optimisation; distributed sensors; wavelet transforms; optical fibre testing; optical time-domain reflectometry

Other keywords: dynamic range enhancement; MPSO evolutionary algorithm; laser input power; noisy lifting wavelet coefficients; OTDR measurement; OTDR principle; MATLAB 15.0 software; inline splices; distributed fibre sensors; SiO2; signal-to-noise ratio; silica optical fibre; lifting wavelet filters; fibre fault location; computational complexity; computer simulation; optical time domain reflectometry; optical fibre continuity measurement; lifting wavelet transform-modified particle swarm optimisation scheme

Subjects: Optical coatings and filters; Fibre optic sensors; Fibre optic sensors; fibre gyros; Optical fibre testing and measurement of fibre parameters; Other fibre optical devices and techniques; Optical refractometry and reflectometry; Spectral and other filters; Fibre optics

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