Mr. Zixuan Zhong Profile

Zixuan Zhong

at Chongqing Univ

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Proceedings Article | 15 December 2022 Paper

Spectral efficient Rayleigh interference pattern demodulation technique based on two-dimensional image cross-correlation algorithms for COTDR sensors

Zixuan Zhong, Jianglin Shi, Zhe Fu, Guotao Tang, Haoting Wu, Guolu Yin, Tao Liu, Nan Guo, Tao Zhu

Proceedings Volume 12478, 1247842 (2022) https://doi.org/10.1117/12.2654907

KEYWORDS: Demodulation, Optical filters, Electronic filtering, Spatial resolution, Sensors, Image sensors, Temperature metrology, Signal detection, Image processing, Sensing systems

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The COTDR sensors based on Rayleigh interference pattern demodulation can be used for the dynamic or static measurement of strain and temperature distribution. Conventionally, one-dimension cross-correlation methods are applied. The frequency shift value and thus the local strain or temperature are obtained by locating the resulting correlation peak in the frequency domain. However, these methods offer poor accuracy performance when the spectrum range for cross-correlation is comparable or smaller than the frequency shift induced by large strain or temperature changes. This substantially limits the dynamic range of the sensing system and deteriorates the quality of demodulated strain or temperature. In this paper, a spectral efficient Rayleigh interference pattern demodulation algorithm for COTDR sensors based on two-dimensional image cross-correlation technique is proposed. To approve the proposal, simulations have been built to generate measured and reference images of a 50 m sensing fiber based on a COTDR sensing system with the frequency tuning range from 200 to 1000 MHz. The simulation results indicate that the image distance width is inversely proportional to the demodulation error rate, the maximum measurable frequency shift can be up to 100% of the spectrum range. The strain resolution is decided by the spline interpolation after cross-correlation, and the distance width of the image doesn’t influence spatial resolution of system but will decrease the minimum measurable length that the strain induced on the fiber. The proposed two-dimensional image cross-correlation algorithm is potential to apply to distributed optical fiber sensors based on frequency demodulation, including φ-OTDR, OFDR, BOTDA.

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