摘要
面向光纤法布里-珀罗传感器的腔长解调,提出一种结合幅值归一化与最小均方差的联合解调算法.采用幅值归一化实现返回光谱信号与模拟光谱信号的等幅,提高解调精度.仿真结果表明,相较于传统最小方差法,该算法的解调精度显著提升.实验结果表明,采用该算法可实现优于0.72nm的高分辨率.
A combined algorithm of amplitude normalization and minimum mean square error for the cavity length interrogation of fiber-optic Fabry-Perot sensors is proposed.An amplitude normalization method is introduced to realize the equiamplitude of both the reflected and the simulated spectral signals,which helps improving the interrogating accuracy.Significant increasing of interrogating accuracy compared with conventional algorithms is verified through numerical simulations.And,a 0.72 nm resolution of cavity length interrogation is achieved in real experiment.
作者
冯嘉双
王伟
张雄星
陈海滨
郭子龙
申佳鑫
张军英
FENG Jia-shuang;WANG Wei;ZHANG Xiong-xing;CHEN Hai-bin;GUO Zi-long;SHEN Jia-xin;ZHANG Jun-ying(School of Optoelectronics Engineering,Xi'an Technological University,Xi'an 710021,China;Shaanxi Province Key Lab of Photoelectric Measurement and Instrument Technology,Xi'an Technological University,Xi'an 710021,China)
出处
《光子学报》
EI
CAS
CSCD
北大核心
2020年第9期93-100,共8页
Acta Photonica Sinica
基金
陕西省自然科学基金面上项目(No.2020JM-560)
陕西省教育厅重点科学研究计划项目(No.20JY028)。
关键词
光纤传感器
法布里-珀罗腔
最小均方差
双峰法
腔长解调
Fiber-optic sensor
Fabry-Perot cavity
Least square method
Peak-to-peak method
Cavity length interrogation
