摘要
针对单端布里渊光时域分析(BOTDA)系统存在噪声大、信噪比较低等不足,提出一种基于经验模态分解的降噪方法。理论分析经验模态分解的降噪原理和少模光纤单端布里渊光时域分析传感原理,通过搭建的单端结构布里渊光时域分析温度传感系统,对经验模态分解的降噪效果进行对比分析。实验和仿真结果表明,经验模态分解算法对温度传感系统具有良好的降噪效果,降噪后信噪比提升了约3.06dB,温度测量精度提升了约0.98℃。
To address the problems of high noise and low signal-to-noise ratio in single-ended Brillouin optical time-domain analysis systems,a denoising method based on empirical mode decomposition(EMD)was developed.Theoretical analyses of the denoising principle of EMD and the sensing principle of single-ended Brillouin optical time-domain analysis in a few-mode optical fiber were conducted.The denoising effect of EMD was comparatively analyzed by constructing a single-ended Brillouin optical time-domain analysis temperature-sensing system.The experimental and simulation results show that the EMD algorithm exhibited a good denoising effect on the temperature sensing system and that it improved the signal-to-noise ratio and temperature measurement accuracy by approximately 3.06dB and 0.98℃,respectively.
作者
张立欣
刘紫娟
康清华
王磊
李永倩
ZHANG Lixin;LIU Zijuan;KANG Qinghua;WANG Lei;LI Yongqian(Dept.of Electronic and Communication Engin.;Hebei Key Laboratory of Power Internet of Things Technol.;Baoding Key Lab.of Optical Fiber Sensing and Optical Communication Technol.,North China Electric Power University,Baoding 071003,CHN)
出处
《半导体光电》
CAS
北大核心
2024年第2期336-340,共5页
Semiconductor Optoelectronics
基金
国家自然科学基金项目(62205105,52177141)
中央高校基本科研业务费专项基金项目(2022MS079)
河北省省级科技计划项目(平台编号:SZX2020034).
关键词
布里渊光时域分析
经验模态分解
温度传感
降噪方法
Brillouin optical time domain analysis
empirical mode decomposition
temperature sensing
denoising method
