Yao Yiqiang, Li Zhengying, Wang Yiming, Liu Siqi, Dai Yutang, Gong Jianmin, Wang Lixin
National Engineering Laboratory for Fiber Optic Sensing Technology, Wuhan University of Technology, Wuhan 430070, China.
Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Ministry of Education, Wuhan University of Technology, Wuhan 430070, China.
Sensors (Basel). 2017 Jun 22;17(7):1472. doi: 10.3390/s17071472.
A performance optimization design for a high-speed fiber Bragg grating (FBG) interrogation system based on a high-speed distributed feedback (DFB) swept laser is proposed. A time-division-multiplexing sensor network with identical weak FBGs is constituted to realize high-capacity sensing. In order to further improve the multiplexing capacity, a waveform repairing algorithm is designed to extend the dynamic demodulation range of FBG sensors. It is based on the fact that the spectrum of an FBG keeps stable over a long period of time. Compared with the pre-collected spectra, the distorted spectra waveform are identified and repaired. Experimental results show that all the identical weak FBGs are distinguished and demodulated at the speed of 100 kHz with a linearity of above 0.99, and the range of dynamic demodulation is extended by 40%.
提出了一种基于高速分布反馈（DFB）扫频激光器的高速光纤布拉格光栅（FBG）传感解调系统的性能优化设计方案。构建了具有相同弱FBG的时分复用传感器网络，以实现大容量传感。为进一步提高复用容量，基于FBG光谱在较长时间内保持稳定这一事实，设计了一种波形修复算法，用于扩展FBG传感器的动态解调范围。通过与预先采集的光谱对比，识别并修复失真的光谱波形。实验结果表明，所有相同的弱FBG均可被分辨和解调，解调速度达100 kHz，线性度高于0.99，动态解调范围扩大了40%。
