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Updated: Feb 12, 2026

Writing Bragg Gratings in Multicore Fibers

Writing Bragg Gratings in Multicore Fibers

Published on: April 20, 2016

A Fiber Bragg Grating Interrogation System with Self-Adaption Threshold Peak Detection Algorithm.

Weifang Zhang¹, Yingwu Li², Bo Jin³

¹School of Reliability and Systems Engineering, Beihang University, Haidian Dist., Beijing 100191, China. 08590@buaa.edu.cn.

Sensors (Basel, Switzerland)

|April 13, 2018

Summary

This summary is machine-generated.

This study presents a Fiber Bragg Grating (FBG) interrogation system using a self-adapting algorithm for high precision and speed. The system demonstrates excellent linearity and capacity for 256 sensors, achieving 100% peak recognition.

Keywords:

fiber bragg grating interrogation technology peak detection algorithm

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Area of Science:

Photonics and Optical Sensing
Instrumentation and Measurement

Background:

Fiber Bragg Grating (FBG) sensors are crucial for various sensing applications.
Existing interrogation systems face challenges in precision, capacity, and speed.
Non-linearity in components like Fabry-Perot filters can affect wavelength accuracy.

Purpose of the Study:

To propose and demonstrate a novel FBG interrogation system with enhanced performance.
To improve system resolution, capacity, and wavelength scanning speed.
To develop and validate a self-adapting threshold peak detection algorithm.

Main Methods:

Utilized a Field Programmable Gate Array (FPGA) and Advanced RISC Machine (ARM) platform for high-speed processing.
Employed a tunable Fabry-Perot (F-P) filter for improved resolution, with compensation for non-linearity.
Implemented time-division multiplexing (TDM) via an optical switch to support up to 256 FBG sensors.
Developed a self-adapting threshold peak detection algorithm for accurate peak recognition.

Main Results:

Achieved a wavelength scanning speed of 800 Hz.
Demonstrated 100% peak recognition rate with the self-adapting threshold algorithm.
Experimental validation showed high linearity (R² ≈ 0.999) between 0-100 °C with a sensitivity of 10 pm/°C.
Static interrogation precision reached 0.5 pm.
System capacity supports up to 256 FBG sensors.

Conclusions:

The proposed FBG interrogation system offers optimal comprehensive performance in precision, capacity, and speed.
The self-adapting peak detection algorithm ensures reliable and accurate sensor data acquisition.
This advanced system is suitable for demanding FBG sensing applications requiring high fidelity.