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作 者:王婷 田凤[1] 汤文青 崔岩松[1] Wang Ting;Tian Feng;Tang Wenqing;Cui Yansong(School of Electronic Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China)
机构地区:[1]北京邮电大学电子工程学院
出 处:《激光与光电子学进展》2019年第17期340-346,共7页Laser & Optoelectronics Progress
基 金:大学生创新基金(201802017);国家自然科学基金(61605013)
摘 要:基于布里渊光时域分析(BOTDA)的分布式光纤传感系统被广泛用于测量外界环境的温度、应力等信息。为了进一步提高分布式光纤传感系统的测量精度与速度,提出一种基于自适应梯度下降算法的布里渊频移提取方法,搭建了24.4km基于BOTDA的分布式温度传感系统,并进行实验验证。结果表明,与传统莱文伯-马奈特洛伦兹拟合法相比,本文方法能够快速、准确地提取出布里渊频移,对提高基于BOTDA的分布式温度传感系统的测量精度具有重要意义。The distributed optical fiber sensing system based on Brillouin optical time domain analysis (BOTDA) can be used to measure temperature, stress, and other information in the external environment. In order to further improve the measurement accuracy and speed of distributed optical fiber sensing system, a Brillouin frequency shift extraction method based on adaptive gradient descent algorithm is proposed, and a 24.4 km distributed temperature sensing system based on BOTDA is setup. The results show that, compared with the traditional Levenberg- Marquardt Lorentz fitting algorithm, the proposed method can extract Brillouin frequency shift spectrum quickly and accurately, which is of great significance to improve the measurement accuracy of BOTDA distributed temperature sensing system.
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