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Research Article | Open Access

Ultra-Long Ultra-Broadband Distributed Acoustic Sensing With Zadoff-Chu Nonlinear Frequency Modulation and LEAF

Rong TANGSijin ZHENGYunhe SONGZhikai LIUTianyu HUAShengtao ZOUQiang JINGYunjiang RAO( )
Key Laboratory of Optical Fiber Sensing & Communications (Ministry of Education of the People’s Republic of China), University of Electronic Science and Technology of China, Chengdu 611731, China
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Abstract

The performances of fiber-optic distributed acoustic sensing (DAS) systems are fundamentally limited by the trade-off between the sensing distance and response bandwidth (RB), constraining the effectiveness of the DAS for long-haul sensing applications greatly. To break such a limitation, this paper proposes a novel Zadoff-Chu (ZC) based nonlinear frequency modulation (ZC-NLFM) scheme that combines the zero-correlation property of the ZC method with the chirp diversity of NLFM. The generated ZC-NLFM pulses exhibit excellent sidelobe and inter-pulse interference suppression, enabling high-sensitivity DAS demodulation even under low signal-to-noise ratio conditions. Furthermore, by employing the large-effective-area fiber (LEAF) with the lower attenuation, higher stimulated Brillouin scattering threshold, and Raman amplification, a wide-frequency-range, long-distance, and low-noise DAS (WLL-DAS) with high strain sensitivity of 94.34 p ε / p ε Hz Hz over a wide RB of up to 7 kHz and an ultralong sensing distance of 148 km at the spatial resolution of 10 m is achieved simultaneously. Compared to the conventional DAS, the proposed WLL-DAS achieves a 22-fold increase in the RB over an ultralong distance of >140 km, significantly extending the performance boundary and application range of the DAS.

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Photonic Sensors
Article number: 9560009

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Cite this article:
TANG R, ZHENG S, SONG Y, et al. Ultra-Long Ultra-Broadband Distributed Acoustic Sensing With Zadoff-Chu Nonlinear Frequency Modulation and LEAF. Photonic Sensors, 2026, 16(1): 9560009. https://doi.org/10.26599/PhoS.2026.9560009
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Received: 29 October 2025
Revised: 11 January 2026
Published: 27 March 2026
© The author(s) 2026. Published by Tsinghua University Press.

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), 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.