Conference paper
Sub-spatial resolution position estimation for optical fibre sensing applications
Methods from machine learning community are employed for estimating the position of fibre Bragg gratings in an array. Using the conventional methods for position estimation, based on inverse discrete Fourier transform (IDFT), it is required that two-point spatial resolution is less than gratings' spacing.
However, we show that by employing statistical inference methods in combination with adaptive gradient algorithm, it is still possible to estimate the grating positions even though this requirement is violated. No prior knowledge of the reflection coefficients is needed as the joint estimation of reflection coefficients and the positions is performed.
From the practical point of view, we can demonstrate the reduction of the interrogator's bandwidth by factor of 2. The technique is demonstrated for incoherent optical frequency domain reflectometry (IOFDR). However, the approach is applicable to any other OFDR technique where bandwidth-resolution limitations of IDFT apply.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2017 |
| Pages: | 1-3 |
| Proceedings: | IEEE Sensors 2017 |
| ISBN: | 1509010122 , 1509010130 , 9781509010127 and 9781509010134 |
| Types: | Conference paper |
| DOI: | 10.1109/ICSENS.2017.8234123 |
| ORCIDs: | Zibar, Darko |
Bandwidth Bragg gratings Estimation Fiber gratings Fourier transform optics Gratings IDFT IOFDR Optical fiber sensors Optical fibers adaptive gradient algorithm bandwidth-resolution limitations discrete Fourier transforms distributed sensors fiber Bragg gratings fibre Bragg gratings fibre optic sensors gradient methods grating positions incoherent frequency domain reflectometry incoherent optical frequency domain reflectometry inference mechanisms inverse discrete Fourier transform learning (artificial intelligence) machine learning machine learning community optical arrays optical constants optical engineering computing optical fibre sensing optical fibre sensing applications optical fibre testing reflection coefficients reflectometry statistical inference methods sub-spatial resolution position estimation two-point spatial resolution
