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Correlation-Like Demodulation of Fiber Fabry–Perot Sensor Based on Blackbody Radiation Light Source
IEEE Sensors Journal ( IF 4.3 ) Pub Date : 2021-01-20 , DOI: 10.1109/jsen.2021.3053049
Yuru Chen , Xiaohua Lei , Lei Xie , Tao Chen , Xianming Liu , Peng Zhang , Yinian Zhu

The blackbody radiation can provide light source for the fiber Fabry-Perot sensor system, but the output signal is difficult to demodulate. Because the signal of Fabry-Perot sensor is modulated by spectrum of blackbody radiation and SNR of signal is low. In this paper, the characteristics of the fiber Fabry-Perot sensor signal based on the blackbody light source were investigated. Effect of spectrum of blackbody radiation and low SNR on demodulation was analyzed. Strain experimental results show that correlation-like algorithm can accurately demodulate the signal when the temperature of the blackbody light source is equal to or higher than 800 °C. The maximum mean square error is $8.375~\mu \varepsilon $ after separating influence of temperature by the relationship between center wavelength of blackbody radiation and temperature. Higher the temperature, higher the demodulation accuracy.

中文翻译:

基于黑体辐射光源的法布里-珀罗光纤传感器相关性解调

黑体辐射可以为光纤Fabry-Perot传感器系统提供光源,但是输出信号很难解调。由于法布里-珀罗传感器的信号受到黑体辐射光谱的调制,因此信噪比较低。本文研究了基于黑体光源的光纤法布里-珀罗传感器信号的特性。分析了黑体辐射光谱和低信噪比对解调的影响。应变实验结果表明,当黑体光源的温度等于或高于800°C时,类相关算法可以准确地对信号进行解调。最大均方误差为 $ 8.375〜\ mu \ varepsilon $ 通过黑体辐射的中心波长与温度之间的关系来分离温度的影响之后。温度越高,解调精度越高。
更新日期:2021-03-05
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