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An adaptive Rayleigh noise elimination method in Raman distributed temperature sensors using anti-Stokes signal only

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Abstract

In this paper, an adaptive temperature demodulation method to eliminate Rayleigh noise real-timely in Raman distributed temperature sensors using anti-Stokes light only has been presented. The theoretical model calculating Rayleigh noise is proposed. Based on known parameters, the Rayleigh noise can be calculated and then eliminated simultaneously by the intensity of the signal composed by anti-Stokes light and Rayleigh noise at two different temperatures. In our experiments, two sections of reference fiber I, II are utilized and their temperatures were set at 27 and 40 \(^{\circ }\hbox {C}\) respectively. Experiment results indicate that the temperature errors caused by Rayleigh noise are decreased by 4 and 6 \(^{\circ }\hbox {C}\) at 50 and 70 \(^{\circ }\hbox {C}\) respectively after using this method.

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Acknowledgments

This work was supported by Natural Science Foundation of China (60977058 & 61205083), Independent Innovation Foundation of Shandong University (IIFSDU2010JC002 & 2012JC015), the key technology projects of Shandong Province (2010GGX10137), and promotive research fund for excellent young and middle-aged scientists of Shandong Province (BS2010DX028).

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Correspondence to J. Chang.

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Wang, Z.L., Chang, J., Zhang, S.S. et al. An adaptive Rayleigh noise elimination method in Raman distributed temperature sensors using anti-Stokes signal only. Opt Quant Electron 46, 821–827 (2014). https://doi.org/10.1007/s11082-013-9793-y

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  • DOI: https://doi.org/10.1007/s11082-013-9793-y

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