Abstract

Smartphone-based interrogation of a fiber Bragg grating sensor is, to the best of our knowledge, reported for the first time. The smartphone flashlight LED was used as a light source and a transmissive diffraction grating projected the CFBG spectra on the smartphone camera. In order to efficiently couple light from the smartphone LED to the fiber with CFBG, multimode fiber was used for inscription. Interrogation setup consists of a smartphone and low-cost off-the-shelf available components. Measurement principle was illustrated through the fiber strain caused by applied longitudinal force. Attained measurement sensitivity and resolution were validated via comparison with commercial spectrometer and theoretical results based on Cramer-Rao approach. Also, to the best of our knowledge, the influence of modal noise on the smartphone-based fiber optic sensor interrogation system performance is considered for the first time.

Highlights

  • O PTICAL fiber sensors (OFS) are a prominent research area, which draws significant attention from scientific groups all over the world

  • As supported by the analysis described above, the assumptions made during the derivation of the modal noise properties are correct, so the Bragg wavelength (BW) uncertainty caused by the modal noise can be estimated according to eq (5) to be around σλ0 ≈ 45 pm

  • The interrogated chirped fiber Bragg grating (CFBG) was inscribed in a standard graded-index multimode fiber

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Summary

INTRODUCTION

O PTICAL fiber sensors (OFS) are a prominent research area, which draws significant attention from scientific groups all over the world. Due to rapid development of smartphones and other portable gadgets, there is a strong interest in applying them for interrogation of optical sensors [9]–[12], including fiber optic ones [1], [13]–[18]. Further development of such techniques will pave the way for low-cost, widespread and reconfigurable optical fiber sensing systems, integrated with existent telecommunication infrastructure. The interrogation setup consists of low-cost and readily available components: a smartphone, a piece of a DVD disk, a razor blade slit and a 3D-printed holder

SMARTPHONE-BASED CFBG INTERROGATION PROTOTYPE
SENSOR CALIBRATION AND SIGNAL PROCESSING
NOISE ANALYSIS
Modal Noise Analysis
Influence of Additive Noise on Sensor Resolution
EXPERIMENTAL VALIDATION
Findings
DISCUSSION AND CONCLUSION
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