An FPGA-Based Real-Time Acquisition System for a Distributed Acoustic Sensor Based on Φ-OTDR

  • Francesco Martina
  • Yonas MuanendaEmail author
  • Stefano Faralli
  • Fabrizio Di Pasquale
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 573)


We report on the design and implementation of a cost-effective FPGA-based acquisition system for real-time detection of vibrations in a Distributed Acoustic Sensor (DAS), demonstrating a highly scalable architecture having suitable features for industrial applications.


  1. 1.
    Masoudi, A., Belal, M., Newson, T.: A distributed optical fibre dynamic strain sensor based on phase-OTDR. Meas. Sci. Technol. 24, 085204 (2013)CrossRefGoogle Scholar
  2. 2.
    Baronti, F., Lazzeri, A., Roncella, R., Saletti, R., Signorini, A., Soto, M., Bolognini, G., Di Pasquale, F.: SNR enhancement of Raman-based long-range distributed temperature sensors using cyclic simplex codes. Electron. Lett. 46, 1221–1223 (2010)CrossRefGoogle Scholar
  3. 3.
    Persistence Market Research: Global distributed acoustic sensing market to surpass US$ 2 billion in revenues by 2025. Pers. Mark. Res. (2017)
  4. 4.
    Muanenda, Y., Oton, C.J., Faralli, S., Di Pasquale, F.: A cost-effective distributed acoustic sensor using a commercial off-the-shelf DFB laser and direct detection phase-OTDR. IEEE Photonics J. 8, 1–10 (2016)CrossRefGoogle Scholar
  5. 5.
    Abbas, S.H., Lee, J.R., Jang J.K., Kim, Z.: FPGA-based multipoint shock wave measurement system using LDVs for aerospace applications. In: Proceedings of IEEE Aerospace Conference pp. 1–6 (2016)Google Scholar
  6. 6.
    Peesapati, R., Kumar, K.S., Sabat, S.L.: FPGA based fiber optic gyroscope signal denoising using discrete wavelet transform. ARPN J. of Eng. App. Sci. 7, 1480–1489 (2012)Google Scholar
  7. 7.
    Abbasnejad, M., Alizadeh, B.: FPGA-based implementation of a novel method for estimating the brillouin frequency shift in BOTDA and BOTDR sensors. IEEE Sensors J. 18, 2015–2022 (2018)CrossRefGoogle Scholar
  8. 8.
    Martina, F.: Sistema di acquisizione in tempo reale per riflettometria opto-acustica distribuita: UNIPI (2018).,

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Francesco Martina
    • 1
  • Yonas Muanenda
    • 1
    Email author
  • Stefano Faralli
    • 1
  • Fabrizio Di Pasquale
    • 1
  1. 1.Institute of Communication, Information and Perception Technologies (TeCIP), Scuola Superiore Sant’AnnaPisaItaly

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