1.Wuhan National Lab for Optoelectronics (WNLO), School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, China
2.Department of Electronics Engineering, Universidad Técnica Federico Santa María, Valparaíso, Chile
Zhiyong Zhao (zhiyongzhao@hust.edu.cn)
Ming Tang (tangming@mail.hust.edu.cn)
收稿:2025-05-01,
修回:2025-09-18,
录用:2025-10-02,
网络出版:2026-01-01,
纸质出版:2026-01-31
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Zhonghong Lin, Zhiyong Zhao, Huan He, 等. Frequency-comb enabled spectrum-correlation reflectometry for distributed fiber-optic sensing[J]. Light: Science & Applications, 2026,15(1):185-197.
Lin, Z. H. et al. Frequency-comb enabled spectrum-correlation reflectometry for distributed fiber-optic sensing. Light: Science & Applications, 15, 185-197 (2026).
Zhonghong Lin, Zhiyong Zhao, Huan He, 等. Frequency-comb enabled spectrum-correlation reflectometry for distributed fiber-optic sensing[J]. Light: Science & Applications, 2026,15(1):185-197. DOI: 10.1038/s41377-025-02080-w.
Lin, Z. H. et al. Frequency-comb enabled spectrum-correlation reflectometry for distributed fiber-optic sensing. Light: Science & Applications, 15, 185-197 (2026). DOI: 10.1038/s41377-025-02080-w.
Distributed fiber-optic sensing has become an indispensable tool for large-scale structural and environmental monitoring
where spectral interrogation of backscattering light enables high-precision quantitative measurement of external perturbations. Conventional spectral analysis methods
typically based on frequency-domain serial interrogation or time-to-frequency mapping
face inherent trade-offs between measurement speed
dynamic strain measurement range
and system complexity. Here
we present a distributed frequency comb enabled spectrum-correlation reflectometry as a universal spectral analysis framework that leverages optical frequency comb for parallel multi-frequency interrogation
which is experimentally demonstrated in a phase-sensitive optical time-domain reflectometry (φ-OTDR) system. This method eliminates the need for large frequency scans
achieving more than tenfold improvement in measurement speed over the state-of-the-art spectral analysis methods. Compared to existing phase-demodulated φ-OTDR systems
this method enables vibration amplitude monitoring with a dynamic strain measurement range expanded by more than an order of magnitude
while intrinsically circumventing phase unwrapping issues and interference fading. This work establishes a new paradigm for distributed spectral analysis
providing a flexible and robust platform for a wide range of sensing technologies
including Rayleigh and Brillouin-based schemes
which may have significant impact for geophysics
seismology
civil engineering
and other fields.
Lindsey, N. J., Dawe, T. C. & Ajo-Franklin, J. B. Illuminating seafloor faults and ocean dynamics with dark fiber distributed acou stic sensing. Science 366 ,1103–1107 (2019)..
Williams, E. F. et al. Distributed sensing of microseisms and teleseisms with submarine dark fibers. Nat. Commun. 10 , 5778 (2019)..
Sladen, A. et al. Distributed sensing of earthquakes and ocean-solid Earth interactions on seafloor telecom cables. Nat. Commun. 10 , 5777 (2019)..
Fernández-Ruiz, M. R. et al. Seismic monitoring with distributed acoustic sensing from the near-surface to the deep oceans. J. Lightwave Technol. 40 , 1453–1463 (2022)..
Wu, T. G. et al. Recent progress of fiber-optic sensors for the structural health monitoring of civil infrastructure. Sensors 20 , 4517 (2020)..
Gowshikan, A. et al. A review on the advances in distributed fibre optic sensing technology for structural health monitoring. in 12th International Conference on Structural Engineering and Construction Management: Proceedings of the ICSECM 2021 (eds Dissanayake, R. et al.) (Singapore: Springer, 2023), 145–159.
Koyamada, Y. et al. Fiber-optic distributed strain and temperature sensing with very high measurand resolution ov er long range using coherent OTDR. J. Lightwave Technol. 27 , 1142–1146 (2009)..
Sovran, I., Motil, A. & Tur, M. Frequency-scanning BOTDA with ultimately fast acquisition speed. IEEE Photonics Technol. Lett. 27 , 1426–1429 (2015)..
Liehr, S., Münzenberger, S. & Krebber, K. Wavelength-scanning coherent OTDR for dynamic high strain resolution sensing. Opt. Express 26 , 10573–10588 (2018)..
Wang, B. Z. et al. High-sensitivity distributed dynamic strain sensing by combining Rayleigh and Brillouin scattering. Opto-Electron. Adv. 3 , 200013 (2020)..
Qiu, L. Q. et al. High-sensitivity dynamic distributed pressure sensing with frequency-scanning φ -OTDR. Opt. Lett. 47 , 965–968 (2022)..
Zhang, L. et al. Distributed and dynamic strain sensing with high spatial resolution and large measurable strain range. Opt. Lett. 45 , 5020–5023 (2020)..
Pastor-Graells, J. et al. Single-shot distributed temperature and strain tracking using direct detection phase-sensitive OTDR with chirped pulses. Opt. Express 24 , 13121–13133 (2016)..
Wang, Y. F. et al. Distributed fiber-optic dynamic-strain sensor with sub-meter spatial resolution and single-shot measurement. IEEE Photonics J. 11 , 6803608 (2019)..
Chen, D., Liu, Q. W. & He, Z. Y. High-fidelity distributed fiber-optic acoustic sensor with fading noise suppressed and sub-meter spatial resolution. Opt. Express 26 , 16138–16146 (2018)..
Xiong, J. et al. High sensitivity and large measurable range distributed acoustic sensing with Rayleigh-enhanced fiber. Opt. Lett. 46 , 2569–2572 (2021)..
Xiong, J. et al. Single-shot COTDR using sub-chirped-pulse extraction algorithm for distributed strain sensing. J. Lightwave Technol. 38 , 2028–2036 (2020)..
Zhao, C. et al. Optical phase-sensitive reflectometry based on orthogonal frequency-division multiplexed LFM signal in fractional Fourier domain. Laser Photonics Rev. 17 , 2200838 (2023)..
Steinmetz, T. et al. Laser frequency combs for astronomical observations. Science 321 , 1335–1337 (2008)..
Picqué, N. & Hänsch, T. W. Frequency comb spectroscopy. Nat. Photonics 13 , 146–157 (2019)..
Bao, Y. et al. A digitally generated ultrafine optical frequency comb for spectral measurements with 0.01-pm resolution and 0.7-µs response time. Light Sci. Appl. 4 , e300 (2015)..
Marin-Palomo, P. et al. Microresonator-based solitons for massively parallel coherent optical communications. Nature 546 , 274–279 (2017)..
Jin, C. et al. Scanning-free BOTDA based on ultra-fine digital optical frequency comb. Opt. Express 23 , 5277–5284 (2015)..
He, H. et al. High spatial resolution fast Brillouin optical time-domain analysis enabled by frequency-agility digital optical frequency comb. Opt. Lett. 47 , 3403–3406 (2022)..
Soriano-Amat, M. et al. Time-expanded phase-sensitive optical time-domain reflectometry. Light Sci. Appl. 10 , 51 (2021)..
Li, J. T. et al. Coherently parallel fiber-optic distribute d acoustic sensing using dual Kerr soliton microcombs. Sci. Adv. 10 , eadf8666 (2024)..
Yao, B. C. et al. Interdisciplinary advances in microcombs: bridging physics and information technology. eLight 4 , 19 (2024)..
Wang, Z. T. et al. Quasi-distributed acoustic sensing with interleaved identical chirped pulses for multiplying the measurement slew-rate. Opt. Express 28 , 38465–38479 (2020)..
Martins, H. F. et al. Modulation instability-induced fading in phase-sensitive optical time-domain reflectometry. Opt. Lett. 38 , 872–874 (2013)..
Zhang, Q. et al. Minimizing the measurement time of frequency-scanned phase-sensitive OTDR enabled by sinc interpolation. Proceedings of the 27th International Conference on Optical Fiber Sensors. Alexandria, VA, USA: Optica Publishing Group, 2022, Th4.65.
Redding, B. et al. Quantitative amplitude measuring φ -OTDR using multiple uncorrelated Rayleigh backscattering realizations. Opt. Express 27 , 34952–34960 (2019)..
Zhang, L. et al. Rayleigh-based distributed optical fiber sensing using least mean square similarity. Proceedings of the 26th International Conference on Optical Fiber Sensors. Lausanne, Switzerland: Optica Publishing Group, 2018, ThE29.
Feng, K. P. et al. Improvement of the strain measurable range of an OFDR based on local similar characteristics of a Rayleigh scattering spectrum. Opt. Lett. 43 , 3293–3296 (2018)..
Muñoz, F., Romero, L. & Soto, M. A. Reducing large errors in frequency-scanned phase-sensitive optical time-domain reflectometers using phase cross correlation. Opt. Lett. 47 , 5521–5524 (2022)..
Zhang, L. Distributed optical fiber sensing based on frequency-scanned phase-sensitive optical time-domain reflectometry. PhD thesis, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland (2020).
Butter, C. D. & Hocker, G. B. Fiber optics strain gauge. Appl. Opt. 17 , 2867–2869 (1978)..
Zhang, L. et al. Analysis and reduction of large errors in Rayleigh-based distributed sensor. J. Lightwave Technol. 37 , 4710–4719 (2019)..
Lu, Y. L. et al. Distributed vibration sensor based on coherent detection of phase-OTDR. J. Lightwave Technol. 28 , 3243–3249 (2010)..
Milne, D. et al. An analysis of railway track behaviour based on distributed optical fibre acoustic sensing. Mech. Syst. Signal Process. 142 , 106769 (2020)..
Rodríguez-Barrios, F. et al. Distributed Brillouin fiber sensor assisted by first-order Raman amplification. J. Lightwave Technol. 28 , 2162–2172 (2010)..
Jia, X. H. et al. Hybrid distributed Raman amplification combining random fiber laser based 2nd-order and low-noise LD based 1st-order pumping. Opt. Express 21 , 24611–24619 (2013)..
Gyger, F. et al. Extending the sensing range of Brillouin optical time-domain analysis up to 325 km combining four optical repeaters. Proceedings of the 23rd International Conference on Optical Fibre Sensors. Santander, Spain: SPIE, 2014, 91576Q.
Soto, M. A., Le Floch, S. & Thévenaz, L. Bipolar optical pulse coding for performance enhancement in BOTDA sensors. Opt. Express 21 , 16390–16397 (2013)..
Li, P. H. et al. Quadrature phase-shift keying modulation with random coding pulse for long-range ϕ-OTDR. J. Lightwave Technol. 41 , 3225–3233 (2023)..
Sun, X. Z. et al. Genetic-optimised aperiodic code for distributed optical fibre sensors. Nat. Commun. 11 , 5774 (2020)..
Wang, C. H. et al. GPU-based real-time distributed dynamic strain sensing in optical frequency domain reflectometry. IEEE Sens. J. 21 , 24166–24176 (2021)..
Zhou, F. et al. A real-time phase processing system for phase sensitive optical time domain reflectometer. Rev. Sci. Instrum. 94 , 014710 (2023)..
Rajaby, E. & Sayedi, S. M. A structured review of sparse fast Fourier transform algorithms. Digital Signal Process. 123 , 103403 (2022)..
Roberts, R. S., Brown, W. A. & Loomis, H. H. Computationally efficient algorithms for cyclic spectral analysis. IEEE Signal Process. Mag. 8 , 38–49 (1991)..
Ventosa, S., Schimmel, M. & Stutzmann, E. Towards the processing of large data volumes with phase cross-correlation. Seismological Res. Lett. 90 , 1663–1669 (2019)..
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