Paper
24 November 2023 Improving the spatial resolution and signal-to-noise ratio of BOTDR using double-pulse coding
Xiao Zhou, Chengyu Yang, Feng Wang, Yixin Zhang, Xuping Zhang
Author Affiliations +
Proceedings Volume 12935, Fourteenth International Conference on Information Optics and Photonics (CIOP 2023); 1293550 (2023) https://doi.org/10.1117/12.3008152
Event: Fourteenth International Conference on Information Optics and Photonics (CIOP 2023), 2023, Xi’an, China
Abstract
The spatial resolution of conventional Brillouin optical time domain reflectometry (BOTDR) is intrinsically limited by the relaxation time of phonons in the fiber. To make use of the narrow pulse width for higher spatial resolution, the double-pulse probe can induce interference between two acoustic waves, making it possible to determine the Brillouin frequency shift from the oscillating Brillouin gain spectrum. However, the signal-to-noise ratio (SNR) is restricted since the pulse width is quite narrow. In this paper, we propose to combine the double-pulse technique with coding pulse to improve the SNR while maintaining high spatial resolution. The complementary return-to-zero (RZ) Golay codes are employed in the experiment, and every code element is expanded to contain the entire form of double-pulse. Thus, the interference pattern from the double-pulse interaction is guaranteed, and the decoding process can be correctly conducted. Experimental results demonstrate a significant SNR enhancement with a submeter-level spatial resolution.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xiao Zhou, Chengyu Yang, Feng Wang, Yixin Zhang, and Xuping Zhang "Improving the spatial resolution and signal-to-noise ratio of BOTDR using double-pulse coding", Proc. SPIE 12935, Fourteenth International Conference on Information Optics and Photonics (CIOP 2023), 1293550 (24 November 2023); https://doi.org/10.1117/12.3008152
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KEYWORDS
Spatial resolution

Signal to noise ratio

Pulse signals

Optical fibers

Sensing systems

Signal detection

Signal processing

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