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

Wang, Z. L.; Chang, Jun; Zhang, S. S.; Sun, Bo; Jiang, Shuo; Liu, Sha; Jia, Chuanwu; Liu, Y. N.; Liu, X. H.; Lv, Guangping; Liu, X. Z.

doi:10.1007/s11082-013-9793-y

Cited by 7 publications

(1 citation statement)

References 12 publications

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“…The difference is that this method is applied to the Raman anti-Stokes single-channel demodulation system, and the position of the reference fiber of this method is adjustable, which can be used to calculate the Rayleigh noise amplitude coefficient at different positions. The experiment demonstrated an effective suppression of the measurement errors 108 and an improvement of temperature measurement accuracy and SNR of the system.…”

Section: Challenges and Methodsmentioning

confidence: 95%

Physics and applications of Raman distributed optical fiber sensing

Zhang

2022

Light Sci Appl

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Raman distributed optical fiber sensing has been demonstrated to be a mature and versatile scheme that presents great flexibility and effectivity for the distributed temperature measurement of a wide range of engineering applications over other established techniques. The past decades have witnessed its rapid development and extensive applicability ranging from scientific researches to industrial manufacturing. However, there are four theoretical or technical bottlenecks in traditional Raman distributed optical fiber sensing: (i) The difference in the Raman optical attenuation, a low signal-to-noise ratio (SNR) of the system and the fixed error of the Raman demodulation equation restrict the temperature measurement accuracy of the system. {ii) The sensing distance and spatial resolution cannot be reconciled. (iii) There is a contradiction between the SNR and measurement time of the system. (iv) Raman distributed optical fiber sensing cannot perform dual-parameter detection. Based on the above theoretical and technical bottlenecks, advances in performance enhancements and typical applications of Raman distributed optical fiber sensing are reviewed in this paper. Integration of this optical system technology with knowledge based, that is, demodulation technology etc. can further the performance and accuracy of these systems.

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Section: Challenges and Methodsmentioning

confidence: 95%