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Performance Improvement of Raman Distributed Temperature System by Using Noise Suppression
oleh: Jian Li, Yunting Li, Mingjiang Zhang, Yi Liu, Jianzhong Zhang, Baoqiang Yan, Dong Wang, Baoquan Jin
Format: | Article |
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Diterbitkan: | SpringerOpen 2017-12-01 |
Deskripsi
Abstract 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 km to 11.5 km and the temperature accuracy increases to 1.58 °C at the sensing distance of 10.4 km.