Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Dual Refractive Index Measurements by a Single Multi-Defect Structured Fiber Bragg Grating

Not Accessible

Your library or personal account may give you access

Abstract

This work deals with the numerical analysis of an in-fiber photonic device based on multidefect micro-structured fiber Bragg gratings (MSFBGs) as in fiber refractometer. The investigated structure consists in a fiber Bragg grating where the cladding layer is stripped in different and well defined regions along the grating length. The presence of the thinned regions induces more defect states inside the spectral band-gap of the original device. The mechanism is ruled by multiple interactions of the spectra reflected by the unperturbed grating regions modulated by the phase shifts introduced by the thinned regions. The key feature of the proposed structure is the strong dependence of the defect states on the surrounding refractive indices (SRIs) in the thinned regions, leading to the possibility to realize attractive passive and active photonics devices. Here, the attention has been focused on the feasibility to use a dual defect MSFBG for multiple refractive index measurements. Numerical results reveal that by a proper choice of the thinned regions lengths, it is possible to perform multipoint measurements by a single device.

© 2006 IEICE

PDF Article
More Like This
Nano-Scale High Refractive Index Coated Thinned FBGs for Sensing Applications

D. Paladino, A. Iadicicco, A. Cutolo, S. Campopiano, M. Giordano, and A. Cusano
TuE10 Optical Fiber Sensors (OFS) 2006

High Sensitivity Refractive Index Measurements Using Tilted Fiber Bragg Gratings

Lei Shi, Yunqi Liu, Yunhe Zhao, Fang Zou, and Tingyun Wang
SeS3C.5 Optical Sensors (Sensors) 2015

Novel Integrated Optical Fiber Bragg Grating Assisted Surface Plasmon-Polariton Refractive Index Sensors

Galina Nemova and Raman Kashyap
TuE79 Optical Fiber Sensors (OFS) 2006

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.