In Raman distributed temperature system, the key factor for performance improvement is noise suppression, which seriously affects the sensing distance and temperature accuracy. Therefore, we propose and experimentally...In Raman distributed temperature system, the key factor for performance improvement is noise suppression, which seriously affects the sensing distance and temperature accuracy. Therefore, we propose and experimentally demonstrate dynamic noise difference algorithm and wavelet transform modulus maximum （WTMM） to de-noising Raman anti-Stokes signal. Experimental results show that the sensing distance can increase from 3 kin to 11.5 km and the temperature accuracy increases to 1.58 ℃ at the sensing distance of 10.4kin.展开更多
基金This work is supported by the National Natural Science Foundation of China （NSFC） under Grant Nos. 61377089 and 61527819, by Shanxi Province Natural Science Foundation under Grant No. 2015011049, by Research Project by Shanxi Province Youth Science and Technology Foundation under Grant No. 201601D021069, and by Research Project Supported by Shanxi Scholarship Council of China under Grant No. 2016-036 Key Science and Technology Research Project based on Coal of Shanxi Province （MQ2014-09）, by program for the Outstanding Innovative Teams of Higher Learning Institutions of Shanxi, by Program for Sanjin Scholar.
文摘In Raman distributed temperature system, the key factor for performance improvement is noise suppression, which seriously affects the sensing distance and temperature accuracy. Therefore, we propose and experimentally demonstrate dynamic noise difference algorithm and wavelet transform modulus maximum （WTMM） to de-noising Raman anti-Stokes signal. Experimental results show that the sensing distance can increase from 3 kin to 11.5 km and the temperature accuracy increases to 1.58 ℃ at the sensing distance of 10.4kin.
