Photonic Sensors

, Volume 8, Issue 3, pp 270–277 | Cite as

Research on a Pulse Interference Filter Used for the Fiber Bragg Grating Interrogation System

  • Weifang Zhang
  • Feifei Ren
  • Yingwu Li
  • Bo Jin
  • Wei DaiEmail author
Open Access


In this paper, a novel pulse interference filter for fiber Bragg grating (FBG) interrogation based on the tunable Fabry-Perot (F-P) filtering principle is proposed and experimentally demonstrated. The self-developed FBG interrogation system is devised for the aircraft health management of key structures. Nevertheless, the pulse interference is detected in the reflection spectrum of FBG causing interrogation system unstable. To address the problem, the first-order lag pulse broadening filter is proposed in this paper. The first-order lag filter is applied to preprocess and smooth the original signal, meanwhile enhancing the signal-to-noise ratio (SNR). Afterwards, peaks of reflection spectrum are distinguished with pulse interference by pulse broadening. Experimental results indicate that 634 peaks are detected before adopting the first-order lag pulse broadening filter. Comparatively, the number of peaks decreases to 203 after filtering the interference pulse, and the correct rate of peak detection is higher than 98.5%. Through the comparison with the finite impulse response (FIR) filter, the advantage of first-order lag filter is proved. The vibration monitoring experiment demonstrates that this system has high dynamic precision with a dynamic interrogation range of 0 Hz–400 Hz, and the maximum repetition rate of 800 Hz.


Fiber Bragg grating tunable F-P filtering principle pulse interference digital filtering 



This work was supported by the Technical Foundation Program (Grant Nos. JSZL 2014601 B001, JSZL 2017601 C002) from the Ministry of Industry and Information Technology of China.


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© The Author(s) 2018

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  • Weifang Zhang
    • 1
  • Feifei Ren
    • 1
  • Yingwu Li
    • 1
  • Bo Jin
    • 2
  • Wei Dai
    • 1
    Email author
  1. 1.School of Reliability and Systems EngineeringBeihang UniversityBeijingChina
  2. 2.School of Energy and Power EngineeringBeihang UniversityBeijingChina

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